In today's rapidly evolving technology landscape, an organization's data has never been a more important aspect in achieving mission and business goals. Our data exploitation experts work with our clients to support their mission and business goals by creating and executing a comprehensive data strategy using the best technology and techniques, given the challenge. At Steampunk, our goal is to build and execute a data strategy for our clients to coordinate data collection and generation, to align the organization and its data assets in support of the mission, and ultimately to realize mission goals with the strongest effectiveness possible. For our clients, data is a strategic asset. They are looking to become a facts-based, data-driven, customer-focused organization. To help realize this goal, they are leveraging visual analytics platforms to analyze, visualize, and share information. At Steampunk you will design and develop solutions to high-impact, complex data problems, working with the best and data practitioners around. Our data exploitation approach is tightly integrated with Human-Centered Design and DevSecOps. Contributions Contributions We are looking for seasoned Data Engineer to work with our team and our clients to develop enterprise grade data platforms, services, and pipelines. We are looking for more than just a "Data Engineer", but a technologist with excellent communication and customer service skills and a passion for data and problem solving. <ul><li>Lead and architect migration of data environments with performance and reliability. </li><li>Assess and understand the ETL jobs, workflows, BI tools, and reports. </li><li>Address technical inquiries concerning customization, integration, enterprise architecture and general feature / functionality of data products. </li><li>Experience in crafting database / data warehouse solutions in cloud (Preferably AWS. Alternatively Azure, GCP). </li><li>Key must have skill sets -- Python, AWS. </li><li>Support an Agile software development lifecycle. </li><li>You will contribute to the growth of our Data Exploitation Practice! </li> </ul>Qualifications Qualifications Ability to hold a position of public trust with the US government. 8 years industry experience coding commercial software and a passion for solving complex problems. 8 years direct experience in Data Engineering with experience in tools such as: Big data tools: Hadoop, Spark, Kafka, etc. Relational SQL and NoSQL databases, including Postgres and Cassandra Data pipeline and workflow management tools: Azkaban, Luigi, Airflow, etc. Search tools: Solr, Lucene, Elasticsearch Amazon S3, Athena, Redshift Spectrum, AWS Glue, AWS Glue Catalog, AWS Functions, and Amazon EC2 with SQL Server Developer. Advanced working SQL knowledge and experience working with relational databases, query authoring and optimization (SQL) as well as working familiarity with a variety of databases. Experience with message queuing, stream processing, and highly scalable 'big data' data stores. Experience manipulating, processing, and extracting value from large, disconnected datasets. Experience manipulating structured and unstructured data for analysis. Experience constructing complex queries to analyze results using databases or in a data processing development environment. Experience with data modeling tools and process. Experience architecting data systems (transactional and warehouses). Experience aggregating results and/or compiling information for reporting from multiple datasets. Experience working in an Agile environment. Experience supporting project teams of developers and data scientists who build web-based interfaces, dashboards, reports, and analytics/machine learning models. Preferred <ul><li>Experience with Informix and Data Stage. </li> </ul>About steampunk Steampunk is a Change Agent in the Federal contracting industry, bringing new thinking to clients in the Homeland, Federal Civilian, Health and DoD sectors. Through our Human-Centered delivery methodology , we are fundamentally changing the expectations our Federal clients have for true shared accountability in solving their toughest mission challenges. As an employee owned company , we focus on investing in our employees to enable them to do the greatest work of their careers -- and rewarding them for outstanding contributions to our growth. If you want to learn more about our story, visit . We are an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, or any other characteristic protected by law. Steampunk participates in the E-Verify program. #J-18808-Ljbffr

*Please note: This role is not eligible for 100% remote work. Employees must live within a commutable distance of the Atlanta Area and must be willing to be onsite at the client and/or Slalom Atlanta office up to 5 days a week.*
Who You'll Work With
As a modern technology company, our Slalom Technologists are disrupting the market and bringing to life the art of the possible for our clients. We have passion for building strategies, solutions, and creative products to help our clients solve their most complex and interesting business problems. We surround our technologists with interesting challenges, innovative minds, and emerging technologies.
Who are you?
You are a smart, collaborative person, who takes ownership and gets things done. You are intellectually curious in tools, platforms and languages. You plan, but you are cool with improvisation. You are highly adaptable and willing to wear multiple hats. You are comfortable solving highly critical problems for some of the most recognized organizations in the world. You bring your passion to work.
Responsibilities  Delivery   Lead team(s) of data engineers through execution of backlog activities focused on building or migrating to cloud data platforms.
Present team progress, milestones, dependencies and blockers to clients.
Assist in work prioritization, sequencing and dependency management, backlog development and estimation.
Perform code review activities to ensure code quality and best practice adherence.
Provide expertise and leadership on one or more cloud platforms, guiding other consultants and clients on tool selection, best practices and use cases.
Act as technical lead for solution being implemented, working with clients and other experts to refine and evolve solution.
Perform POCs, work estimation and solution development as part of Discovery projects.
Build architecture diagrams and presentations to align client stakeholders to solution.
Provide subject matter expertise during solutioning of sales pursuits.
Develop and enhance reusable solution materials.
Build and maintain awareness of relevant Slalom accelerators and tools.
Community   Serve as an internal expert on one or more data engineering technologies or subject areas.
Grow practice expertise in these subject areas via mentoring, lunch and learns or other community gatherings.
Grow our community, and serve as a mentor to other data engineers.
Assist in interviewing screening and practice development activities.
Technologies and experience   Core Data modeling, data warehouse and data lake approach, best practices, and experience.
In-depth, hands-on experience with at least one cloud platform (AWS, GCP, Azure).
Knowledge or experience with cloud data platforms such as Databricks or Snowflake.
Familiarity with one or more ETL/ELT tool.
Experience in one or more RDBMS and one or more analytical databases.
Experience in NoSQL or Graph DBs.
Strong SQL, Python and PySpark. Java and Scala are pluses.
Demonstrated experience leading teams of developers.
About Us
Slalom is a purpose-led, global business and technology consulting company. From strategy to implementation, our approach is fiercely human. In six countries and 43 markets, we deeply understand our customers---and their customers---to deliver practical, end-to-end solutions that drive meaningful impact. Backed by close partnerships with over 400 leading technology providers, our 11,000+ strong team helps people and organizations dream bigger, move faster, and build better tomorrows for all. We're honored to be consistently recognized as a great place to work, including being one of Fortune's 100 Best Companies to Work For seven years running. Learn more at slalom.com.
Compensation and Benefits
Slalom prides itself on helping team members thrive in their work and life. As a result, Slalom is proud to invest in benefits that include meaningful time off and paid holidays, parental leave, 401(k) with a match, a range of choices for highly subsidized health, dental, & vision coverage, adoption and fertility assistance, and short/long-term disability. We also offer yearly $350 reimbursement account for any well-being-related expenses, as well as discounted home, auto, and pet insurance.
Slalom is committed to fair and equitable compensation practices. Actual compensation will depend upon an individual's skills, experience, qualifications, location, and other relevant factors. The salary pay range is subject to change and may be modified at any time.
EEO and Accommodations
Slalom is an equal opportunity employer and is committed to inclusion, diversity, and equity in the workplace. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veterans' status, or any other characteristic protected by federal, state, or local laws. Slalom will also consider qualified applications with criminal histories, consistent with legal requirements. Slalom welcomes and encourages applications from individuals with disabilities. Reasonable accommodations are available for candidates during all aspects of the selection process. Please advise the talent acquisition team if you require accommodations during the interview process.

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Evercommerce is looking for an ambitious Data Engineer. As a member of the Evercommerce Data Team, you'll focus on driving operational awareness to our Executive Team while partnering with leaders throughout EverCommerce to fundamentally improve how we run our business. With a combination of insatiable curiosity and an exceptional entrepreneurial "get stuff done" mindset, you'll help us better understand our customers and drive important changes that will shape the future of EverCommerce. Most importantly, we will look to the Data Engineer to provide thought leadership and have large influence in the direction on how we architect and grow our data infrastructure and capabilities for the future.You: You're a builder and creator with a winning track record in modern data infrastructures to support the internal analytics, data science, tracking, and operational needs of a business. The Data Engineer will be responsible for standing up, maintaining, and scaling data operations such as external data transfers, data lake performance, our ETL tools such as Airflow, identifying data integrity issues, and developing documentation. You will be working closely to support the BI engineers and our data products in the Data team as we support the needs from the other business groups throughout the organization. The ideal candidate should have a background in Engineering, Computer Science, equivalent quantitative field or related practical experience with an obsession on data quality. You are comfortable with ambiguity, possess attention to detail, and continued self-motivation to grow and learn. You should have an outstanding ability to foster relationships with staff across departments and be motivated to continuously achieve positive results.Us: EverCommerce [Nasdaq: EVCM] is a leading service commerce platform, providing vertically-tailored, integrated SaaS solutions that help more than 600,000 global service-based businesses accelerate growth, streamline operations, and increase retention. Our modern digital and mobile applications create predictable, informed, and convenient experiences between customers and their service professionals. Specializing in Home & Field Services, Health Services, and Fitness & Wellness industries, EverCommerce solutions include end-to-end business management software, embedded payment acceptance, marketing technology, and customer engagement applications.Where: The EverCommerce team is distributed across North America, with more than 40 office locations in the U.S. and Canada. With a widely distributed team, we are used to working remotely across different time zones. This role can be based anywhere in the United States or Canada; if you're near one of our offices and want to work in-office, we can set that up, or this role can be 100% remote. You must be eligible to work in the United States or Canada in order to qualify for this role.Core Responsibilities:<ol><li>Build, maintain, and improve major components of our data infrastructure such as our data loader, data ingestion, ETL tools and connections with downstream destinations.</li><li>Build and grow our enterprise data lake infrastructure for reporting and analytics.</li><li>Work closely with the BI engineering team and support them in establishing analytics and decision support capabilities that enable the business teams to make data-driven decisions driving acquisition growth and customer monetization and retention.</li><li>Develop internal web and product tracking strategy and work with internal organizations to ensure proper implementation and execution of that strategy.</li><li>Increase the efficiency of old business processes and aid in the development of new business processes to continually improve data collection processes, integrity, and reliability.</li><li>Own various special data-focused projects to support planning/forecasting, ongoing operations, and corporate development, as necessary.</li><li>Extract and manipulate data from a variety of systems and offline reporting for use reporting, utilizing cloud-based and/or on-premise analytics tools to analyze data, as necessary.</li><li>Exercise inquisitive mindset to transform business questions into actionable data exploration exercises, as well as take reported data and shape it into actionable business questions.</li><li>Develop an understanding of each operating business's role within the larger EverCommerce organization; maintain an advanced knowledge of their data quality, references (definitions, sources), strengths, and areas of improvement.</li></ol>Experience and Skills:<ol><li>Bachelor's degree in Computer Science, or other related field with a top-tier academic background, or equivalent experience.</li><li>5+ years of post-undergraduate relevant work experience in a highly analytical environment; SaaS, payments, and/or technology industry experience preferred.</li><li>Strong Python, SQL.</li><li>Experience with cloud platforms and data tools such as AWS, Redshift, Glue, Athena, Data Zone, S3, Spark, Snowflake, Fivetran.</li><li>Experience with data lake technologies such as Apache Iceberg, Glue Catalog, Polaris Catalog.</li><li>Experience with data workflow tools such as Airflow, dbt.</li><li>Experience with other tools and software such as Docker, Ansible, Terraform or similar Infrastructure-as-code.</li><li>Exceptional written and verbal communication skills, with the ability to present complex technical concepts to non-technical stakeholders.</li><li>Proven leadership abilities, with experience in mentoring and team management.</li><li>Extreme attention to detail with a strong sense of ownership and organization.</li><li>Low ego, "no-job-too-small" attitude with a willingness to shift from high-level critical thinking to necessary mundane tasks required to complete a job.</li><li>Ability to protect extremely confidential information.</li></ol>Benefits and Perks:<ul><li>Flexibility to work where/how you want -- in-office, remote, or hybrid.</li><li>Continued investment in your professional development.</li><li>Robust health and wellness benefits.</li><li>401k with up to a 4% match.</li><li>Monthly wellness stipend.</li><li>Flexible and generous time off (FTO).</li><li>Employee Stock Purchase Program.</li><li>Student Loan Repayment Program.</li></ul>Compensation: The target base compensation for this position is $110,000 - $130,000 USD per year in most US locations. Final offer amounts are determined by multiple factors including location, local market variances, and candidate experience and expertise, and may vary from the amounts listed above. EverCommerce is an equal opportunity employer and we value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender identity, sexual orientation, age, marital status, veteran status, or disability status. We look forward to reviewing your credentials and getting to know more about your experience!
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Label Insight is part of the Brandbank division of NielsenIQ and plays a crucial part in how we digitise, enhance and distribute data to clients and the wider NielsenIQ business.To help achieve this, we work with open data ecosystems in the cloud. Our clients around the world rely on NielsenIQ's data and insights to innovate and grow.We are looking for a highly motivated and talented Application Support Analyst to add to our Label Insight team!<h3>Job Description</h3>As Data Engineer, you will have following key accountabilities:<ol><li>Design, implement and maintain scalable pipelines and architecture to collect, process, and store data from various sources.</li><li>Unit test and document solutions that meet product quality standards prior to release to QA.</li><li>Identify and resolve performance bottlenecks in pipelines due to data, queries and processing workflows to ensure efficient and timely data delivery.</li><li>Implement data quality checks and validations processes to ensure accuracy, completeness and consistency of data delivery.</li><li>Work with Data Architect and implement best practices for data governance, quality and security.</li><li>Collaborate with cross-functional teams to identify and address data needs.</li><li>Ensure technology solutions support the needs of the customer and/or organization.</li><li>Define and document technical requirements.</li></ol><h3>Qualifications</h3><ol><li>Proficient in multiple languages used in data engineering such as Python, Java.</li><li>Minimum 3-5 years of experience in Data engineering working with Oracle and MS SQL.</li><li>Experience with data warehousing concepts and technologies including cloud-based services (e.g. Snowflake).</li><li>Experience with cloud platforms like Azure and knowledge of infrastructure.</li><li>Experience with data orchestration tools (e.g. Azure Data Factory, DataBricks workflows)</li><li>Understanding of data privacy regulations and best practices.</li><li>Experience working with remote teams.</li><li>Experience working on a team with a CI/CD process.</li><li>Familiarity using tools like Git, Jira.</li><li>Great problem-solving abilities.</li><li>Great work ethics.</li><li>Bachelor's degree in Computer Science or Computer Engineering.</li></ol><h3>Additional Information</h3><ul><li>Flexible working environment.</li><li>Volunteer time off.</li></ul><h3>About NIQ</h3>NIQ is the world's leading consumer intelligence company, delivering the most complete understanding of consumer buying behavior and revealing new pathways to growth. In 2023, NIQ combined with GfK, bringing together the two industry leaders with unparalleled global reach. With a holistic retail read and the most comprehensive consumer insights---delivered with advanced analytics through state-of-the-art platforms---NIQ delivers the Full View. NIQ is an Advent International portfolio company with operations in 100+ markets, covering more than 90% of the world's population.For more information, visit NIQ.com.Want to keep up with our latest updates?<h3>Our commitment to Diversity, Equity, and Inclusion</h3>NIQ is committed to reflecting the diversity of the clients, communities, and markets we measure within our own workforce. We exist to count everyone and are on a mission to systematically embed inclusion and diversity into all aspects of our workforce, measurement, and products. We enthusiastically invite candidates who share that mission to join us. We are proud to be an Equal Opportunity/Affirmative Action-Employer, making decisions without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability status, age, marital status, protected veteran status or any other protected class. Our global non-discrimination policy covers these protected classes in every market in which we do business worldwide. Learn more about how we are driving diversity and inclusion in everything we do by visiting the NIQ News Center: <a href="#">NIQ News Center</a>.
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Company Description MRI-Simmons Research is a leading consumer insights company. We are an established organization, with a great brand, that is aggressively reinventing itself through investments in technology and people. The innovative private equity firm, Symphony Technology Partners, also backs us.MRI-Simmons measures consumer preferences, attitudes, and behaviors. We do this by collecting data through surveys and passively measure data in a way that is representative of the general population, applying data science and making sense of consumer data through enterprise-grade software. Marketers and media companies then use MRI-Simmons data and technology to develop marketing strategies, consumer segmentation schemes, and media activation approaches.We are seeking a highly skilled and experienced data engineer to join our team. As a Data Engineer, you will play a crucial role in designing, developing, and maintaining robust data pipelines and architecture. You will be skilled with data modeling, ETL (Extract, Transform, Load) processes, and storage to enhance data accessibility, reliability, and performance.Job DescriptionAs Data Engineer, you will have the following key accountabilities:<ul><li>Design, implement, and maintain scalable pipelines and architecture to collect, process, and store data from various sources.</li><li>Unit test and document solutions that meet product quality standards prior to release to QA.</li><li>Identify and resolve performance bottlenecks in pipelines due to data, queries, and processing workflows to ensure efficient and timely data delivery.</li><li>Implement data quality checks and validation processes to ensure accuracy, completeness, and consistency of data delivery.</li><li>Work with Data Architect to implement best practices for data governance, quality, and security.</li><li>Collaborate with cross-functional teams to identify and address data needs.</li><li>Ensure technology solutions support the needs of the customer and/or organization.</li><li>Define and document technical requirements.</li></ul>Qualifications<ul><li>Proficient in multiple languages used in data engineering such as Python and Java.</li><li>Minimum 3-5 years of experience in Data Engineering working with Oracle and MS SQL.</li><li>Experience with data warehousing concepts and technologies including cloud-based services (e.g. Snowflake).</li><li>Experience with cloud platforms like Azure and knowledge of infrastructure.</li><li>Experience with data orchestration tools (e.g. Azure Data Factory, DataBricks workflows).</li><li>Understanding of data privacy regulations and best practices.</li><li>Experience working with remote teams.</li><li>Experience working on a team with a CI/CD process.</li><li>Familiarity using tools like Git and Jira.</li><li>Great problem-solving abilities.</li><li>Great work ethics.</li><li>Bachelor's degree in Computer Science or Computer Engineering.</li></ul>Additional InformationThis role has a market-competitive salary with an anticipated base compensation of the following range: $84k to $120k. Actual salaries will vary depending on a candidate's experience, qualifications, skills, and location. This role might also be eligible for a sales-based incentive or performance-based bonus. Other benefits include a flexible working environment, comprehensive health insurance, industry-leading parental leave, life insurance, education support, and more.<ul><li>Flexible working environment.</li><li>Volunteer time off.</li></ul>Our commitment to Diversity, Equity, and InclusionNIQ is committed to reflecting the diversity of the clients, communities, and markets we measure within our own workforce. We exist to count everyone and are on a mission to systematically embed inclusion and diversity into all aspects of our workforce, measurement, and products. We enthusiastically invite candidates who share that mission to join us. We are proud to be an Equal Opportunity/Affirmative Action-Employer, making decisions without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability status, age, marital status, protected veteran status, or any other protected class.
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St Floor The Rex Building, 62-64 Queen Street, London, England, EC4R 1EBArtefact is a new generation of data service provider, specialising in data consulting and data-driven digital marketing, dedicated to transforming data into business impact across the entire value chain of organisations. We are proud to say we're enjoying skyrocketing growth.Our broad range of data-driven solutions in data consulting and digital marketing are designed to meet our clients' specific needs, always conceived with a business-centric approach and delivered with tangible results. Our data-driven services are built upon the deep AI expertise we've acquired with our 1000 client base around the globe.We have over 1500 employees across 20 offices who are focused on accelerating digital transformation. Thanks to a unique mix of company assets: State of the art data technologies, lean AI agile methodologies for fast delivery, and cohesive teams of the finest business consultants, data analysts, data scientists, data engineers, and digital experts, all dedicated to bringing extra value to every client.Job SummaryWe are looking for a Senior Data Engineer to join our dynamic team. This role is ideal for someone with a deep understanding of data engineering and a proven track record of leading data projects in a fast-paced environment.Key Responsibilities<ul><li>Design, build, and maintain scalable and robust data pipelines using SQL, Python, Databricks, Snowflake, Azure Data Factory, AWS Glue, Apache Airflow and Pyspark.</li><li>Lead the integration of complex data systems and ensure consistency and accuracy of data across multiple platforms.</li><li>Implement continuous integration and continuous deployment (CI/CD) practices for data pipelines to improve efficiency and quality of data processing.</li><li>Work closely with data architects, analysts, and other stakeholders to understand business requirements and translate them into technical implementations.</li><li>Oversee and manage a team of data engineers, providing guidance and mentorship to ensure high-quality project deliverables.</li><li>Develop and enforce best practices in data governance, security, and compliance within the organisation.</li><li>Optimise data retrieval and develop dashboards and reports for business teams.</li><li>Continuously evaluate new technologies and tools to enhance the capabilities of the data engineering function.</li></ul>Qualifications<ul><li>Bachelor's or Master's degree in Computer Science, Engineering, or a related field.</li><li>6 years of industry experience in data engineering with a strong technical proficiency in SQL, Python, and big data technologies.</li><li>Extensive experience with cloud services such as Azure Data Factory and AWS Glue.</li><li>Demonstrated experience with Databricks and Snowflake.</li><li>Solid understanding of CI/CD principles and DevOps practices.</li><li>Proven leadership skills and experience managing data engineering teams.</li><li>Strong project management skills and the ability to lead multiple projects simultaneously.</li><li>Excellent problem-solving skills and the ability to work under tight deadlines.</li><li>Strong communication and interpersonal skills.</li><li>Excellent understanding of data architecture including data mesh, data lake and data warehouse.</li></ul>Preferred Qualifications:<ul><li>Certifications in Azure, AWS, or similar technologies.</li><li>Certifications in Databricks, Snowflake or similar technologies</li><li>Experience in the leading large scale data engineering projects</li></ul>Working Conditions<ul><li>This position may require occasional travel.</li><li>Hybrid work arrangement: two days per week working from the office near St. Paul's</li></ul>
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<h3>Senior Data Engineer, 3PX Private Pricing - Analytics & Insights, 3PX, Analytics & Insights</h3>DESCRIPTION Amazon Web Services (AWS) is a dynamic and rapidly growing business within Amazon and the leader in providing secure, reliable, scalable, and innovative services that help over a million businesses, governments, education, and not for profits across the globe scale and grow! AWS provides a wide set of scalable services to meet customer needs. The AWS Global Deal Strategy and Programs (GDSP) organization is responsible for the Private Pricing Program. The Private Pricing Analytics and Insights (PPA&I) team owns building scalable analytical solutions that enable the GDSP organization with actionable insights to make data-driven decisions. This role will focus on Data Engineering, and Analytics related to the Private Pricing Program, requiring deep technical skills, strong business acumen and a deep analytical background to provide actionable data-driven insights and decision support. As a Senior Data Engineer on this team, you will drive efficiency in data handling processes, setup product analytics, drive advanced analysis and build new metrics which are key inputs to improve the health, scale and growth of the Private Pricing Program. You will work collaboratively with the business leaders (including the VP of Private Pricing), operations, and engineering teams on many non-standard and unique business problems and support business initiatives by collecting required and related data from external/internal sources. The ideal candidate should have strong communication skills and ability to prioritize effectively to ensure timelines are met. You will own projects E2E, from engaging with customers to production and delivery of a suite of tools used by the organization to make key business decisions. You should be a self-starter, comfortable with ambiguity, able to think big and be creative (while still paying careful attention to detail). You think in terms of architecture, not just code. You proactively work to improve the consistency and integration between your team's BI solutions and any related systems or artifacts.Key job responsibilities<ul><li>Owning the design, development, and maintenance of scalable solutions for ongoing metrics, reports, analyses, dashboards, etc. to support analytical and business needs.</li><li>Interface with other technology teams to extract, transform, and load data from a wide variety of data sources using AWS services and internal tools.</li><li>Build and deliver high quality data sets to support data scientists and customer reporting needs.</li><li>Continually improve ongoing reporting and analysis processes, automating or simplifying self-service support for customers.</li><li>Translate basic business problem statements into analysis requirements.</li><li>Use analytical and statistical rigor to answer business questions and drive business decisions.</li><li>Find and create ways to measure the customer experience to drive business outcomes.</li><li>Develop queries and visualizations for ad-hoc requests and projects, as well as ongoing reporting.</li><li>Write queries and output efficiently, and have in-depth knowledge of the available in area of expertise. Pull the needed with standard query syntax; periodically identify more advanced methods of query optimization. Convert to make it analysis-ready.</li><li>Recognize and adopt best practices in reporting and analysis: integrity, design, analysis, validation, and documentation.</li><li>Troubleshoot operational quality issues.</li><li>Review and audit existing jobs and queries.</li><li>Recommending improvements to back-end sources for increased accuracy and simplicity.</li></ul>BASIC QUALIFICATIONS<ul><li>5 years of data engineering experience.</li><li>Experience with data modeling, warehousing and building ETL pipelines.</li><li>Experience with SQL.</li><li>Experience in at least one modern scripting or programming language, such as Python, Java, Scala, or NodeJS.</li><li>Bachelors Degree in relevant Technical Field.</li></ul>PREFERRED QUALIFICATIONS<ul><li>Experience operating large data warehouses.</li><li>Experience developing, deploying, and managing production data pipelines in AWS.</li><li>Experience deploying and managing machine learning models deployed into production.</li></ul>Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status. For individuals with disabilities who would like to request an accommodation, please visit https://www.amazon.jobs/en/disability/us.
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Data Engineer Data Engineer Jobs Jobs

S Steampunk Data Engineer Mclean Shift Contract 3 Months Ago Coding Scala Apache Kafka CDecember 14, 2024

S Slalom Data Engineer Senior Consultant Atlanta Scala Core Data Python TelecomDecember 10, 2024

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N Nielseniq Data Engineer Remote In Us New York Monthsofexperience 36 Unix OrchestrationDecember 8, 2024

A Artefact Senior Data Engineer Manager St Floor The Rex Building 6264 Queen Street LondonDecember 8, 2024

Amazon Senior Data Engineer 3Px Private Pricing Analytics Insights 3Px Analytics InsigDecember 7, 2024