Location: Bengaluru, KA, INWorkplace Type: Hybrid/RemoteDo you want to help solve the world's most pressing challenges? Feeding the world's growing population and slowing climate change are two of the world's greatest challenges. AGCO is a part of the solution! Join us to make your contribution.Position: Senior Data EngineerWe are seeking a Senior Data Engineer with extensive experience in cloud platforms and data engineering tools. The ideal candidate will have a strong background in AWS and Databricks. Google Cloud Platform is a big plus with hands-on experience in S3, Redshift, Glue, and BigQuery (BQ). The candidate should have a proven track record of working on data enablement projects across various data domains and be familiar with the Data as a Product approach.Your Impact<ul><li>Design, develop, and maintain scalable data pipelines.</li><li>Implement and manage data storage solutions S3, Redshift, and Delta Tables.</li><li>5+ years of experience with AWS cloud services and data-related components (S3, Lambda, Glue, Athena, Step Functions, Cloudwatch Events, Redshift, RDS, SNS, and SES).</li><li>Leverage Databricks for advanced data processing, including the development and optimization of data workflows, jobs, and Delta Tables.</li><li>Monitor and optimize Databricks performance, including cluster management, resource utilization, and Delta Table optimization.</li><li>Collaborate with cross-functional teams to deliver data enablement projects.</li><li>Apply the Data as a Product / Data as an Asset approach to ensure data quality and usability.</li><li>5+ years of experience in analytical software/language skills (Spark, Python, R, SQL, SAS).</li><li>Experienced in CI/CD pipelines using GitHub.</li><li>Experienced in Scrum teams and contribute to agile development processes.</li><li>Experience in Data Streaming is a plus (Kafka or Spark Streaming).</li><li>Working with other ETL/ELT tools is a plus (for example Qlik Replicate, SAP Data Services, or Informatica).</li></ul>Your Experience and Qualifications<ul><li>Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.</li><li>5+ years of experience in data engineering or a related field.</li><li>Strong experience with AWS and Databricks.</li><li>Proficiency in data modeling and designing efficient data structures.</li><li>Familiarity with Azure DevOps and Scrum methodologies.</li><li>Excellent problem-solving skills and attention to detail.</li><li>Strong communication and collaboration skills.</li><li>At least one certification in AWS or Databricks in Cloud Engineering, Data Services, or equivalent MOOCs.</li></ul>Your WorkplaceAGCO is Great Place to Work Certified and has been recognized for delivering exceptional employee experience and a positive workplace culture. We value inclusion and recognize the innovation a diverse workforce delivers to our farmers. Through our recruiting, we are committed to building a team that includes a variety of experiences, backgrounds, cultures, and perspectives.Join us as we bring agriculture into the future and apply now!Please note that this job posting is not designed to cover or contain a comprehensive listing of all required activities, duties, responsibilities, or benefits and may change at any time with or without notice.AGCO is proud to be an Equal Opportunity Employer.
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The CDC Foundation helps the Centers for Disease Control and Prevention (CDC) save and improve lives by unleashing the power of collaboration between CDC, philanthropies, corporations, organizations, and individuals to protect the health, safety, and security of America and the world. The CDC Foundation is the go-to nonprofit authorized by Congress to mobilize philanthropic partners and private-sector resources to support CDC’s critical health protection mission. Since 1995, the CDC Foundation has raised over $1.9 billion and launched more than 1,300 programs impacting a variety of health threats from chronic disease conditions including cardiovascular disease and cancer, to infectious diseases like rotavirus and HIV, to emergency responses, including COVID-19 and Ebola. The CDC Foundation managed hundreds of programs in the United States and in more than 90 countries last year. Visit <a href="#">www.cdcfoundation.org</a> for more information.Job HighlightsLocation: Remote, must be based in the United StatesSalary Range: $103,500-$143,500 per year, plus benefits. Individual salary offers will be based on experience and qualifications unique to each candidate.Position Type: Grant funded, limited-term opportunityPosition End Date: June 30, 2025OverviewThe Data Engineer will play a crucial role in advancing the CDC Foundation's mission by designing, building, and maintaining data infrastructure for a public health organization. This role is aligned to the Workforce Acceleration Initiative (WAI). WAI is a federally funded CDC Foundation program with the goal of helping the nation’s public health agencies by providing them with the technology and data experts they need to accelerate their information system improvements.Working within Marion County Public Health Department (MCPHD), the Data Engineer will collaborate across technical and non-technical teams to gather requirements, assure that requirements are correctly understood by developers, assure user training and change management, and facilitate alignment towards the planning and implementation of a public health data systems project. The Data Engineer will collaborate with data content experts, analysts, data scientists, data modelers, warehouse architects, IT staff, and other organization staff to design and implement proposed solutions and architectures that meet the needs of the public health agency.The Data Engineer will be hired by the CDC Foundation and assigned to the Data Governance Team, Application Development Team, and Data Warehouse Team. This position is eligible for a fully remote work arrangement for U.S. based candidates.Responsibilities<ul><li>Develop and maintain robust data pipelines and architectures to support data collection, storage, and movement from multiple sources to databases and data warehouses.</li><li>Implement efficient strategies for collecting, storing, and analyzing both structured and unstructured data.</li><li>Manage and work with relational and non-relational databases (e.g., SQL) to ensure efficient data storage and retrieval.</li><li>Apply data modeling techniques to ensure data integrity, enhance performance, and optimize the overall database structure.</li><li>Utilize analytics software to interpret, visualize, and present data insights, contributing to data-driven decision-making across the business.</li><li>Work closely with cross-functional teams, translating complex technical solutions for both technical and non-technical stakeholders to support organizational goals.</li><li>Expertise in data pipeline development and data management systems.</li><li>Strong experience with relational and non-relational databases (e.g., SQL).</li><li>Knowledge of data modeling techniques for ensuring data accuracy and performance optimization.</li><li>Proficiency with analytics and data visualization tools such as PowerBI, SAP HANA, SQL Management Studio, and other platforms like Apache Spark, Talend, Tableau.</li><li>Ability to troubleshoot, problem-solve, and communicate effectively with diverse teams.</li><li>Lead or participate in requirements gathering/JAD sessions; working closely with Project or Product Manager(s), developers, subject matter experts, vendors, and users.</li><li>Define and document requirements and use cases and assure these are correctly understood by developers.</li><li>Develop comprehensive test cases at the application and multi-application levels.</li><li>Work with user community, technical teams, and vendors to meet implementation timeline.</li><li>Conduct and direct end-user testing responsibilities.</li><li>May perform data quality assurance; troubleshooting application and/or interfaces as problems arise and report issues.</li><li>Facilitate business/functional requirement review, approval, and sign-off sessions.</li></ul>Qualifications<ul><li>Bachelor’s degree in a technical field such as computer science, computer engineering, or related field required. MBA or other related advanced degree preferred.</li><li>Minimum of 5+ years of relevant professional experience.</li><li>Experience writing Use Cases to document requirements.</li><li>Experience collaborating with a multi-disciplinary team to translate user and technical requirements, and lead the team through smooth and continuous delivery.</li><li>Knowledge and experience with project management methodologies, principles, and processes.</li><li>Experienced in change management and risk management principles and processes to provide leadership in the development of strategic plans and change management initiatives and their roll-out.</li><li>Experience using data to make decisions, gathering data insights by design to improve outcomes.</li><li>Demonstrated experience developing and maintaining working relationships with internal and external partners and can effectively promote collaboration among differing viewpoints.</li><li>Strong understanding of technical concepts and legacy systems.</li><li>Knowledge of user experience design and user research principles and concepts.</li><li>Ability to communicate and articulate problems and resolutions to technical and non-technical teams.</li><li>Outstanding interpersonal and teamwork skills; and the ability to develop productive working relationships with colleagues and partners.</li><li>Experience working in a virtual environment with remote partners and teams.</li><li>Proficiency in Microsoft Office.</li></ul>Special NotesThis role is involved in a dynamic public health program. As such, roles and responsibilities are subject to change as situations evolve. Roles and responsibilities listed above may be expanded upon or updated to match priorities and needs, once written approval is received by the CDC Foundation in order to best support the public health programming.
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<h3>Introduction</h3>At IBM, work is more than a job - it's a calling: To build. To design. To code. To consult. To think along with clients and sell. To make markets. To invent. To collaborate. Not just to do something better, but to attempt things you've never thought possible. Are you ready to lead in this new era of technology and solve some of the world's most challenging problems? If so, let’s talk.IBM Consulting is IBM’s consulting and global professional services business, with market leading capabilities in business and technology transformation. With deep expertise in many industries, we offer strategy, experience, technology, and operations services to many of the most innovative and valuable companies in the world. Our people are focused on accelerating our clients’ businesses through the power of collaboration. We believe in the power of technology responsibly used to help people, partners and the planet. Within IBM Consulting, Asset Engineering Services is a group who build software products and repeatable solutions to accompany and support multiple consulting and services engagements across different clients.Asset Engineering is looking for a motivated and seasoned Data Engineer to join our global team to deliver outstanding results for both internal/external clients.<h3>Your Role and Responsibilities</h3>We are seeking an experienced Data Engineer to join the Asset Engineering team. In this role, you will be responsible for building innovative AI-powered solutions that integrate with various systems and applications. You will also be working with the broader team to build, analyse and improve the AI solutions.<h3>Required Technical and Professional Expertise</h3><ol><li>8+ years of professional experience; 5+ years of experience in Data Engineer with ML exposure.</li><li>Proficiency in Python programming language with exposure to RESTful APIs.</li><li>Knowledge of database management systems such as MySQL or PostgreSQL.</li><li>Experience with web scraping and other data collection methods. Optimizing data retrieval and machine learning workflows to improve performance of Generative AI systems in real-time environments.</li><li>Exploratory Data Analysis on both structured and unstructured data, generate and propose insights. Data management (including creating tools to support PMs for creating use case specific KBs and use flows).</li></ol><h3>Preferred Technical and Professional Expertise</h3><ol><li>Work with the Product Managers and technical lead to build the data pipeline and knowledge bases to support the AI use cases. Work with integration team to integrate models into production environments and ensure smooth data flow.</li><li>Experience with IBM Cloud, Cirrus (IBM CIO Private Cloud). Experience with DevOps tools including GitHub Enterprise, CI/CD.</li><li>Ensuring data security, privacy, and compliance standards are met.</li></ol>
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Expedia Group brands power global travel for everyone, everywhere. We design cutting-edge tech to make travel smoother and more memorable, and we create groundbreaking solutions for our partners. Our diverse, vibrant, and welcoming community is essential in driving our success.Why Join Us?To shape the future of travel, people must come first. Guided by our Values and Leadership Agreements, we foster an open culture where everyone belongs, differences are celebrated and know that when one of us wins, we all win.We provide a full benefits package, including exciting travel perks, generous time-off, parental leave, a global hybrid work setup (with some pretty cool offices), and career development resources, all to fuel our employees' passion for travel and ensure a rewarding career journey. We’re building a more open world. Join us.Data Engineer IIIA high performing individual contributor who mentors junior engineers, applies new data engineering principles to improve existing systems, and leads complex, well-defined projects.What you will do:<ol><li>Proactively teams up with peers across the organization to build an understanding of cross dependencies and shared problem solving.</li><li>Participates in a community of practice to share and gain knowledge.</li><li>Continually seeks new technical skills in an engineering area.</li><li>Shares new skills and knowledge with team to increase effectiveness.</li><li>Demonstrates knowledge of advanced and relevant technology.</li><li>Exhibits comfort working with several forms of technology.</li><li>Understands the relationship between applications, databases and technology platforms.</li><li>Demonstrates advanced knowledge of building and operating highly available, distributed systems of data extraction, ingestion, and processing of large data sets.</li><li>Develops and tests complex or non-routine software applications and related programs and procedures to ensure they meet design requirements.</li><li>Effectively applies knowledge of software design principles, data structures and/or design patterns and computer science fundamentals to write code that is clean, maintainable, optimized, modular with good naming conventions.</li><li>Effectively applies knowledge of databases and database design principles to solve data requirements.</li><li>Effectively applies concepts of object-oriented design, distributed computing, performance/scalability tuning, advanced data structures and algorithms to batch and real-time stream analytics and large data processing.</li><li>Understands software frameworks and how to leverage them to write simpler code.</li><li>Leads and clarifies code evolution in code reviews.</li><li>Coordinates different stakeholders with varied perspectives to develop solutions to issues, and contributes own suggestions.</li><li>Thinks holistically to identify opportunities around policies/processes to increase efficiency across organizational boundaries.</li><li>Assists with a whole systems approach to analyzing issues by ensuring all components (structure, people, process and technology) are identified and accounted for.</li><li>Recognizes areas of inefficiency in code or systems operation and offers suggestions for improvements.</li><li>Recommends advancements, innovations and changes in technologies (specifically relating to data engineering, cloud data platforms, data models, enterprise information management, business intelligence and data science).</li><li>Compiles data and reports on major operational or technical initiatives (like RCAs) to larger groups, whether via written or oral means.</li></ol>Who you are:<ol><li>Experience: 5+ years for Bachelor's OR 3+ years for Master's</li><li>Software development in at least 3 different languages.</li><li>Built and maintained more than one data pipeline/data product in production environments (bug fixing, troubleshooting, monitoring, etc.).</li><li>Bachelor's or Master's or equivalent experience. Technical degree preferred.</li><li>Displays strength in a couple of programming languages relevant to data (e.g. Java, Spark, Python).</li><li>Identifies strengths and weaknesses among languages for particular use cases.</li><li>Applies organizational technology patterns effectively in their projects and makes recommendations on alternate options.</li><li>Has hands-on experience working with large volumes of data including different patterns of data ingestion, processing (batch & real-time), movement, storage and access (for both internal and external to BU) and is able to make independent decisions within scope of project.</li><li>Displays a good understanding of data structures and algorithms.</li><li>Has hands-on experience working with at least 1 cloud technology and its offerings within the data specialization.</li><li>Understands how projects/teams interact with other teams.</li><li>Understands and designs moderately complex systems.</li><li>Has some familiarity with some data modeling and schema design patterns.</li><li>Has a good understanding of organizational reference patterns and technology choices and applies them to their projects.</li><li>Tests and monitors code at the project level.</li><li>Understands how to test and monitor tools.</li><li>Debugs applications.</li><li>Tests, debugs and fixes issues within established SLAs.</li><li>Designs software that is easily testable and observable.</li><li>Understands how team's goals fit a business need.</li><li>Identifies business problems at the project level and provides solutions.</li></ol>Accommodation requestsIf you need assistance with any part of the application or recruiting process due to a disability, or other physical or mental health conditions, please reach out to our Recruiting Accommodations Team through the Accommodation Request.We are proud to be named as a Best Place to Work on Glassdoor in 2024 and be recognized for award-winning culture by organizations like Forbes, TIME, Disability:IN, and others.Expedia is committed to creating an inclusive work environment with a diverse workforce. All qualified applicants will receive consideration for employment without regard to race, religion, gender, sexual orientation, national origin, disability or age.
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Department: CFC - Finance Systems, Data and Innovation<h3>About Us</h3>At ANZ, we're applying new ways technology and data can be harnessed as we work towards a common goal: to improve the financial wellbeing and sustainability of our millions of customers.Our community of over 5,000 engineers is key to making this happen, because technology underpins every part of our business - from delivering tools, apps and services for our customers, to building a bank for the future.<h3>About the Role</h3>As an Engineer – Automation, Bengaluru GCC, Grp 4.3 in our Finance Systems, Data & Innovation domain within Group Finance, you’ll play a key role in helping to advance the way finance provides and uses data and evolves the way we function as a division. This role undertakes work based on squad backlog, working closely with others to prioritise work, manage interdependencies and deliver solutions. Responsibilities include:<ol><li>Undertaking analysis of current and future data design and build requirements and liaising with other business and technology areas for resolution. The role also provides subject matter expertise on ANZ Enterprise wide Data design and build.</li><li>Providing guidance and leadership for the data design and build tasks to the build team performing tasks as per agreed stakeholder expectations. Implement ETL (Extract, Transform, Load) processes to import from existing data sources.</li><li>Undertaking/coordinating maintenance of the infrastructure and coordination with ANZ Technology in areas as required.</li><li>Managing relationships with stakeholders, sponsors and customers and managing resulting expectations on solution design, build and delivery.</li></ol>Banking is changing and we’re changing with it, giving our people great opportunities to try new things, learn and grow. Whatever your role at ANZ, you’ll be building your future while helping to build ours.<h3>What will your day look like?</h3>As an Engineer – Automation, you will:<ol><li>Provide technical support to the team which is accountable for Solution Design, Development, Test, and Implementation of various projects as undertaken.</li><li>Participate in Business requirement analysis and feasibility study, communicate with Business Stakeholders effectively and ensure that requirements are clear from the Build perspective and can fit in the current suite of applications build.</li><li>Mentor the Development team resources towards desired outcomes and ensure the quality of the outcomes are of high standards. Provide Technical inputs (dependencies, sequencing, risks etc.) to assist the Delivery Manager with sizing and planning of projects.</li><li>Work closely with the Release Manager(s) and Delivery Managers, aiding in Delivery, and ensuring the technical quality of the deliverables for Releases and Projects.</li><li>Constantly engage the end-customer to ensure that the requirements are met on time and all outstanding issues are addressed satisfactorily.</li></ol><h3>What will you bring?</h3>To grow and be successful in this role, you will ideally bring the following:‘Must Have’ knowledge, skill and experience the role requires are:<ol><li>E2E Solution Design and Development using Python + SQL + JS/VBA/Batch/PowerShell/Scheduling.</li><li>MSSQL or Teradata Skills: Develop, implement, and optimize SQL Queries.</li><li>Intelligent Automation tools: Automation Anywhere or UiPath or Blue Prism or Python Frontend automation.</li><li>Agile Development methodologies and tools experience like Atlassian Jira, Confluence etc.</li><li>Experience with multiple above-mentioned toolsets is required.</li><li>Self-starter with the ability to work autonomously or with a team.</li><li>High level relationship building and influencing skills and good oral and written communication skills.</li></ol>‘Good to Have’ knowledge, skill and experience the role requires are:<ol><li>Full Stack Development (Angular JS/ React JS, Nodejs, Django, Flask, Java, .NET Framework etc.), API development experience.</li><li>Experience with SharePoint Design (Nintex).</li><li>Data Wrangling tools: Alteryx or Knime.</li><li>Experience in designing optimized Data Models, ETL, data orchestration and data pipelines.</li><li>Data Science (ML/AI algos and MLOps).</li><li>Experience building Gen-AI based solutions.</li><li>Data Visualization (Qlik Sense, Tableau, Microsoft Power BI etc.).</li><li>Microsoft IIS Server application hosting.</li><li>Experience with Cloud platforms for Compute, Data and Analytics.</li><li>One or more of the above skillsets is preferred.</li></ol>Qualifications:<ol><li>7+ years of relevant work experience working on above tools and technologies.</li><li>Advanced Certification of your primary skills is desired but not mandatory.</li><li>Any Certification on open-source tools is desired but not mandatory.</li><li>Excellent Oral and Written communication skills.</li></ol>You’re not expected to have 100% of these skills. At ANZ a growth mindset is at the heart of our culture, so if you have most of these things in your toolbox, we’d love to hear from you.<h3>So why join us?</h3>ANZ is a place where big things happen as we work together to provide banking and financial services across more than 30 markets. With more than 7,500 people, our Bengaluru team is the bank's largest technology, data and operations centre outside Australia. In operation for over 33 years, the centre is critical in delivering the bank's strategy and making an impact for our millions of customers around the world. Our Bengaluru team not only drives the transformation initiatives of the bank, it also drives a culture that makes ANZ a great place to be. We're proud that people feel they can be themselves at ANZ and 90 percent of our people feel they belong.We know our people need different things to be great in their role, so we offer a range of flexible working options, including hybrid work (where the role allows it). Our people also enjoy a range of benefits including access to health and wellbeing services.We want to continue building a diverse workplace and welcome applications from everyone. Please talk to us about any adjustments you may require to our recruitment process or the role itself. If you are a candidate with a disability or access requirements, let us know how we can provide you with additional support.To find out more about working at ANZ visit <a href="#">https://www.anz.com/careers/</a>. You can apply for this role by visiting ANZ Careers and searching for reference number 82700.<h3>Job Posting End Date</h3>
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Quality & After Sales team is an integral part of Nissan’s manufacturing process. While targeting high quality in our vehicles, we work to increase the quality of sales and service to customers in the purchasing process. The goal is to exceed customer expectations at all contact points.We are looking for a Hands-On Lead Data Engineer to build the next generation of data warehouses, data lakes, and business intelligence solutions in AWS as part of Nissan X360 initiatives. The candidate will be required to understand and gather the data warehouse/data lake requirements, design, and implement data pipelines in the cloud (AWS preferred). Minimum 6+ years of experience in the data engineering space with experience in complex and high-volume data projects is mandatory.Responsibilities:<ul><li>Collaborate with product/business owners through the product/project lifecycle and develop data engineering solutions aligning with Nissan's data strategy.</li><li>Lead a team of data engineers and guide them during the development lifecycle.</li><li>Work with solution and data architects to resolve any technical and architectural challenges during the implementation.</li><li>Design and develop various components of data pipelines that include data ingestion, data processing, and analysis of business data.</li><li>Create high-level and low-level designs for the module.</li><li>Lead scoping efforts, provide inputs in preparing effort and time estimates for projects.</li><li>Develop medium to complex modules using coding standards and guidelines. Build reusable components/frameworks.</li><li>Perform code reviews and maintain code review standards.</li><li>Follow best practices of agile & DevOps while implementing solutions.</li></ul>Skills and Qualifications:The ideal candidate should have worked on end-to-end data warehousing and data lake solutions in cloud platforms (AWS). The candidate should have the following skill sets:<ul><li>Strong data engineering (ETL) experience in cloud, preferably in AWS. AWS Certification (developer/DevOps/SA) preferred.</li><li>Excellent understanding of distributed computing paradigms.</li><li>Experience in data warehouse and data lake implementation.</li><li>Experience in relational databases, ETL design patterns, and ETL development.</li><li>Experience in CICD frameworks and container-based deployments.</li><li>Strong programming and SQL skills.</li><li>Good exposure to No-SQL and Big Data technologies.</li><li>Strong implementation experience in various technology areas and deep technical expertise in some of the following technologies:</li><li>Data integration/Engineering – ETL tools like Talend, AWS Glue, etc. Experience in Talend is a must, and Glue ETL is preferable.</li><li>Data warehouse - Snowflake and/or AWS Redshift. Experience in Snowflake cloud DWH would be an advantage.</li><li>Data modeling – Dimensional & transactional modeling using RDBMS, No-SQL, and Big Data technologies.</li><li>Programming - Java/Python/Scala and SQL.</li><li>Exposure to AWS components like Lambda, EC2, etc.</li><li>Master data management (MDM) – Concepts and experience in tools like Informatica & Talend MDM.</li><li>Exposure to Big Data – Hadoop ecosystem, AWS EMR.</li><li>Exposure to Big Data processing frameworks – Kinesis, Spark & Spark streaming.</li><li>Demonstrate strong analytical and problem-solving capabilities.</li><li>Good understanding of the data ecosystem, both current and future data trends.</li><li>Should be a go-to person for the above technologies.</li></ul>Drive your career forward and join the company leading the technology and business evolution in the automotive industry.<h3>About Us</h3>Nissan is more than a car company. We are an innovation company. We take the most innovative thinking in the industry and combine it with performance, value, efficiency, safety, and style. The result: Cars that thrill you every time you get behind the wheel.With over 150 million vehicles produced globally, Nissan continues with the goal to enrich the lives of our employees and customers alike.
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Introduction In this role, you will work in one of our IBM Consulting Client Innovation Centers (Delivery Centers), where we deliver deep technical and industry expertise to a wide range of public and private sector clients around the world. Our delivery centers offer our clients locally based skills and technical expertise to drive innovation and adoption of new technology. A career in IBM Consulting embraces long-term relationships and close collaboration with clients across the globe. You will collaborate with visionaries across multiple industries to improve the hybrid cloud and AI journey for the most innovative and valuable companies in the world. Your ability to accelerate impact and make meaningful change for your clients is enabled by our strategic partner ecosystem and our robust technology platforms across the IBM portfolio, including IBM Software and Red Hat. Curiosity and a constant quest for knowledge serve as the foundation to success in IBM Consulting. In your role, you will be supported by mentors and coaches who will encourage you to challenge the norm, investigate ideas outside of your role, and come up with creative solutions resulting in ground-breaking impact for a wide network of clients. Our culture of evolution and empathy centers on long-term career growth and learning opportunities in an environment that embraces your unique skills and experience. Your Role and Responsibilities As Data Engineer at IBM you will harness the power of data to unveil captivating stories and intricate patterns. You'll contribute to data gathering, storage, and both batch and real-time processing. Collaborating closely with diverse teams, you'll play an important role in deciding the most suitable data management systems and identifying the crucial data required for insightful analysis. As a Data Engineer, you'll tackle obstacles related to database integration and untangle complex, unstructured data sets. In this role, your responsibilities may include:<ol><li>Implementing and validating predictive models as well as creating and maintaining statistical models with a focus on big data, incorporating a variety of statistical and machine learning techniques.</li><li>Designing and implementing various enterprise search applications such as Elasticsearch and Splunk for client requirements.</li><li>Working in an Agile, collaborative environment, partnering with other scientists, engineers, consultants, and database administrators of all backgrounds and disciplines to bring analytical rigor and statistical methods to the challenges of predicting behaviors.</li><li>Building teams or writing programs to cleanse and integrate data in an efficient and reusable manner, developing predictive or prescriptive models, and evaluating modeling results.</li></ol> Your primary responsibilities include:<ol><li>Developing & maintaining data pipelines for batch & stream processing using Informatica PowerCenter or cloud ETL/ELT tools.</li><li>Liaising with business teams and technical leads, gathering requirements, identifying data sources, identifying data quality issues, designing target data structures, developing pipelines and data processing routines, performing unit testing and supporting UAT.</li><li>Working with data scientists and business analytics teams to assist in data ingestion and data-related technical issues.</li></ol> Required Technical and Professional Expertise <ul><li>Expertise in Data warehousing/Information Management/Data Integration/Business Intelligence using ETL tool Informatica PowerCenter.</li><li>Knowledge of Cloud, Power BI, and Data migration on cloud skills.</li><li>Experience in Unix shell scripting and Python.</li><li>Experience with relational SQL, Big Data, etc.</li></ul> Preferred Technical and Professional Expertise <ul><li>Knowledge of MS-Azure Cloud.</li><li>Experience in Informatica PowerCenter.</li><li>Experience in Unix shell scripting and Python.</li></ul>
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Are you driven by innovation? Is collaborative problem-solving your forte? Do you relish the idea of witnessing the ripple effects of your contributions in a grander context? If any of these resonate with you, then you're destined for success within the vibrant realm of WWGS Data & Analytics. We are a dynamic cohort of visionaries who channel our expertise into translating cutting-edge advancements in data and software engineering into real-world solutions that transcend conventional boundaries. Welcome to WWGS Data & Analytics, where we equip you with the tools and camaraderie you need to forge inventive pathways that are not just professionally fulfilling, but also incredibly enjoyable.

Our team of Data engineers, Business Intelligence engineers, business analysts, and software engineers form the backbone of our business operations, enabling us to make informed decisions powered by data. As an Amazon Data Engineer, you will find yourself navigating the sprawling landscape of one of the amazon's largest data warehouses. Our enthusiasm lies in constructing a remarkably scalable big data ecosystem that bolsters our analytics, machine learning, and data-driven applications.

Key job responsibilities Architecture design and implementation of next generation data pipelines and BI solutions.
Build and deliver high quality data architecture and pipelines to support business analyst, data scientists, and customer reporting needs.
Interface with other technology teams to extract, transform, and load data from a wide variety of data sources.
Continually improve ongoing reporting and analysis processes, automating or simplifying self-service support for customers.

A day in the life As a WWGS Data & Analytics Data Engineer, you will help tackle a diverse landscape of technical challenges. You will partner with other Software Engineers along with Data Engineers, Business Intelligence Engineers, Analysts, Product Manager, and Program Managers inside and outside of the team to distill large, complicated datasets into automated, digestible analytic deliverables. You will play an active role in translating business requirements into concrete systems and prototyping concepts in partnership with Amazon, technology leaders within the team and across the business.

You will design, develop and deploy reliable distributed solutions that operate at Amazon scale. You will work with a variety of core languages and technologies including SQL, Python, Scala and AWS services. You will tackle challenging, novel situations every day and will have the opportunity to redefine an industry while working with different teams across Amazon and WWGS Data & Analytics. Along the way, we guarantee that you’ll learn a ton, have fun and make a positive impact on many people. Most importantly you’ll be contributing to our Higher Purpose of Nourishing People and the Planet!

About the team We enable sophisticated, fact-based decision making across WWGS Data & Analytics by delivering constantly evolving technology and analytic capabilities. This team will solve challenging and novel problems every day and have the opportunity to redefine the grocery industry while collaborating with multiple teams across WWGS Data & Analytics and Amazon.

Minimum Requirements A Bachelor's degree or higher in a quantitative/technical field, such as Computer Science, Statistics, or Engineering.
1+ years of data engineering experience.
Profound experience in designing, implementing, and overseeing data processing systems tailored for extensive datasets.
Proficiency in at least one modern programming language, whether it's Java, Scala, or Python.
Hands-on expertise and advanced comprehension of SQL.
A firm grasp of data management fundamentals and principles underpinning data storage.
Proficiency in the realm of distributed systems as they pertain to data storage and cloud computing.

Demonstrated aptitude in independently managing and delivering end-to-end projects.
Relevance in areas such as Data Engineering, Database Engineering, Business Intelligence, or Business Analytics.
A documented history of successfully implementing robust big data solutions.
Proficiency in navigating both Batch and Real-Time data processing systems.
Comprehensive comprehension of software coding practices throughout the development lifecycle, inclusive of agile methodologies, coding standards, code reviews, source management, build processes, testing, and operations.

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Are you driven by innovation? Is collaborative problem-solving your forte? Do you relish the idea of witnessing the ripple effects of your contributions in a grander context? If any of these resonate with you, then you're destined for success within the vibrant realm of WWGS Data & Analytics. We are a dynamic cohort of visionaries who channel our expertise into translating cutting-edge advancements in data and software engineering into real-world solutions that transcend conventional boundaries. We shape novel improvements every day, and now we invite you to be part of our pioneering narrative. Welcome to WWGS Data & Analytics, where we equip you with the tools and camaraderie you need to forge inventive pathways that are not just professionally fulfilling, but also incredibly enjoyable.

Our team of Data engineers, Business Intelligence engineers, business analysts, and software engineers form the backbone of our business operations, enabling us to make informed decisions powered by data. As an Amazon Data Engineer, you will find yourself navigating the sprawling landscape of one of Amazon's largest data warehouses. Our enthusiasm lies in constructing a remarkably scalable big data ecosystem that bolsters our analytics, machine learning, and data-driven applications.

Key job responsibilities Architecture design and implementation of next generation data pipelines and BI solutions
Manage AWS resources including EC2, RDS, Redshift, Kinesis, EMR, Lambda, Glue, Apache Airflow etc.
Build and deliver high quality data architecture and pipelines to support business analyst, data scientists, and customer reporting needs.
Interface with other technology teams to extract, transform, and load data from a wide variety of data sources
Continually improve ongoing reporting and analysis processes, automating or simplifying self-service support for customers

A day in the life As a WWGS Data & Analytics Data Engineer, you will help tackle a diverse landscape of technical challenges. You will partner with other Software Engineers along with Data Engineers, Business Intelligence Engineers, Analysts, Product Manager, and Program Managers inside and outside of the team to distill large, complicated datasets into automated, digestible analytic deliverables. You will play an active role in translating business requirements into concrete systems and prototyping concepts in partnership with Amazon, technology leaders within the team and across the business.

You will design, develop and deploy reliable distributed solutions that operate at Amazon scale. You will work with a variety of core languages and technologies including SQL, Python, Scala and AWS services. You will tackle challenging, novel situations every day and will have the opportunity to redefine an industry while working with different teams across Amazon and WWGS Data & Analytics. Along the way, we guarantee that you’ll learn a ton, have fun and make a positive impact on many people. Most importantly you’ll be contributing to our Higher Purpose of Nourishing People and the Planet!

About the team We enable sophisticated, fact-based decision making across WWGS Data & Analytics by delivering constantly evolving technology and analytic capabilities. This team will solve challenging and novel problems every day and have the opportunity to redefine the grocery industry while collaborating with multiple teams across WWGS Data & Analytics and Amazon.

Minimum Requirements A Bachelor's degree or higher in a quantitative/technical field, such as Computer Science, Statistics, or Engineering.
3+ years of data engineering experience.
Profound experience in designing, implementing, and overseeing data processing systems tailored for extensive datasets.
Proficiency in at least one modern programming language, whether it's Java, Scala, or Python.
Hands-on expertise and advanced comprehension of SQL.
A firm grasp of data management fundamentals and principles underpinning data storage.
Proficiency in the realm of distributed systems as they pertain to data storage and cloud computing.
A proven track record of working with Open-Source Big Data tools, including Hadoop, Spark, Hive, and Presto, among others.
Demonstrated aptitude in independently managing and delivering end-to-end projects.
Relevance in areas such as Data Engineering, Database Engineering, Business Intelligence, or Business Analytics.
Practical familiarity with AWS Big Data Technologies, encompassing EMR, Athena, EC2, Redshift, and S3, to name a few.
Prior engagement with Redshift, PostgreSQL, SQL Server, or MySQL.
A documented history of successfully implementing robust big data solutions.
Proficiency in navigating both Batch and Real-Time data processing systems.
A proven knack for effective communication with users, technical counterparts, and senior management to gather requirements, elucidate data modelling decisions, and outline data engineering strategies.
Proven experience in providing technical leadership and mentoring fellow engineers in data engineering best practices.
Comprehensive comprehension of software coding practices throughout the development lifecycle, inclusive of agile methodologies, coding standards, code reviews, source management, build processes, testing, and operations.

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