3MK Software Solutions is the leading software service solutions provider and IT Staffing Supplier company, outsourcing and complex implementation services for businesses across different functional areas and technologies with a core focus on software development, web designing, and GIS Software solutions. Our team is our core strength; we have selected the most skilled and talented specialists from the IT industry, and we continuously invest in developing their capabilities. The core management has many years of experience and has successfully led complex projects for major corporations in the fields of healthcare, communication, retail, and finance. During the term of these projects, the team had to develop an advanced implementation methodology.<h3>Job Description</h3>Role summary:The Data Engineer will implement data-oriented solutions to support cloud-based software development. You will own the technical solutions needed for data ingestion, storage, access, and provisioning to enable large-scale software and analytics deployment for our customers. You will be a member of an integrated squad working together to deliver successful outcomes on the GE Predix platform.Essential functions:<ol><li>Architect, design, and develop new systems and tools to enable users to consume and understand data faster.</li><li>Work across multiple cross-functional teams in high visibility roles and own the data solution end-to-end.</li><li>Adopt a FastWorks mindset to support business data and analytics projects.</li><li>Help drive a best-in-class data engineering practice that will be leveraged across GE.</li><li>Participate in setting strategy and standards through data architecture and implementation.</li><li>Engineer structured and unstructured data from source systems to fit business needs.</li><li>Establish and maintain policies, procedures, and standards for data management and processing.</li><li>Lead analysis, model, and design the application data structure, storage, integration, deployment, and support.</li><li>Fluent in both normalized and dimensional model disciplines and techniques and in creating data logical and physical data models.</li><li>Design and document conceptual/logical models and implement physical models.</li><li>Proficient in using data modeling tools, such as Power Designer or Erwin.</li></ol>Minimum Requirements:<ol><li>Bachelor's Degree in Computer Science, Information Technology, or equivalent (STEM) with a minimum of 5 years of experience as a data engineer.</li><li>A minimum of 2 years of experience using scripting (Python, Perl, Shell, etc.) is required.</li><li>A minimum of 5 years of experience working on databases like PostgreSQL, Oracle, SQL Server. SQL is required.</li><li>A minimum of 5 years of experience designing data model solutions for various OLTP and OLAP databases.</li><li>Must be legally authorized to work in the United States full-time.</li><li>Must be willing to work in our XXXXX facility full-time.</li><li>Must submit an application for employment through gecareers.com (or COS if internal) to be considered.</li><li>Must be 18 years of age or older.</li><li>Must be willing to take a drug test as part of the selection process.</li><li>Must be willing to submit to a background investigation, including verification of your past employment, criminal history, and educational background.</li></ol>Desired Qualifications:<ol><li>Experience with the GE Software Center of Excellence Predix platform.</li><li>Experience working in an Agile software development environment.</li><li>Demonstrated ability to work effectively across functions in a matrix environment.</li><li>Strong interpersonal skills, including the ability to diplomatically advocate for the appropriate support staffing levels.</li><li>Ideal candidate will also have experience presenting effectively to non-technical and executive audiences.</li><li>Strong analytical skills – strong problem-solving skills, communicates in a clear and succinct manner and effectively evaluates information/data to make decisions; anticipates obstacles and develops plans to resolve.</li><li>Resourceful and quick learner; able to efficiently seek out, learn, and apply new areas of expertise as needed.</li><li>Highly self-motivated, able to work independently.</li></ol><h3>Additional Information</h3>All your information will be kept confidential according to EEO guidelines.
#J-18808-Ljbffr

Specialty/Competency: Data, Analytics & AI

Industry/Sector: EUR X-Sector

Time Type: Full time

Travel Requirements: Up to 80%

At PwC, our people in data and analytics engineering focus on leveraging advanced technologies and techniques to design and develop robust data solutions for clients. They play a crucial role in transforming raw data into actionable insights, enabling informed decision-making and driving business growth.

In data engineering at PwC, you will focus on designing and building data infrastructure and systems to enable efficient data processing and analysis. You will be responsible for developing and implementing data pipelines, data integration, and data transformation solutions.

Enhancing your leadership style, you motivate, develop and inspire others to deliver quality. You are responsible for coaching, leveraging team member’s unique strengths, and managing performance to deliver on client expectations. With your growing knowledge of how business works, you play an important role in identifying opportunities that contribute to the success of our Firm. You are expected to lead with integrity and authenticity, articulating our purpose and values in a meaningful way. You embrace technology and innovation to enhance your delivery and encourage others to do the same.

Examples of the skills, knowledge, and experiences you need to lead and deliver value at this level include but are not limited to:

Analyse and identify the linkages and interactions between the component parts of an entire system.

Take ownership of projects, ensuring their successful planning, budgeting, execution, and completion.

Partner with team leadership to ensure collective ownership of quality, timelines, and deliverables.

Develop skills outside your comfort zone, and encourage others to do the same.

Effectively mentor others.

Use the review of work as an opportunity to deepen the expertise of team members.

Address conflicts or issues, engaging in difficult conversations with clients, team members and other stakeholders, escalating where appropriate.

Uphold and reinforce professional and technical standards (e.g. refer to specific PwC tax and audit guidance), the Firm's code of conduct, and independence requirements.

Minimum Degree Required

Bachelor's Degree

Required Field(s) of Study

Management Information Systems, Computer and Information Science, Systems Engineering,Electrical Engineering,Chemical Engineering,Industrial Engineering,Mathematics,Statistics,Mathematical Statistics

Minimum Year(s) of Experience

5 year(s)

Preferred Qualifications

Demonstrates abilities and/or success in one or many of the following areas:

Design and implement comprehensive data architecture strategies that meet the current and future business needs;

Develop and document data models, data flow diagrams, and data architecture guidelines;

Ensure data architecture is compliant with data governance and data security policies;

Collaborate with business stakeholders to understand their data requirements and translate them into technical solutions;

Evaluate and recommend new data technologies and tools to enhance data architecture;

Build, maintain, and optimize ETL/ELT pipelines for data ingestion, processing, and storage across batch and real-time data processing;

Build, maintain, and optimize Data Quality rules leveraging DQ tools and/or other ETL/ELT tools;

Develop and deploy scalable data storage solutions using AWS, Azure and GCP services such as S3, Redshift, RDS, DynamoDB, Azure Data Lake Storage, Azure Cosmos DB, Azure SQL DB, GCP Cloud Storage etc.;

Implement data integration solutions using AWS Glue, AWS Lambda, Azure Data Factory, Azure Functions, GCP Functions, GCP Dataproc, Dataflow and other relevant services;

Design and manage data warehouses and data lakes, ensuring data is organized and accessible;

Monitor and troubleshoot data pipelines, data warehouses and workflows to ensure data quality, system reliability, performance and cost management;

Implement IAM roles and policies to manage access and permissions within AWS, Azure, GCP;

Use AWS CloudFormation, Azure Resource Manager templates, Terraform for infrastructure as code (IaC) deployments;

Use AWS, Azure and GCP DevOps services to build and deploy DevOps pipelines;

Implement data security best practices using AWS, Azure, GCP, Snowflake or Databricks;

Optimize Cloud resources for cost, performance, and scalability;

Strong proficiency in SQL and experience with relational databases;

Proficient in programming languages such as Python, Java, or Scala;

Familiarity with big data technologies like Hadoop, Spark, or Kafka is a plus;

Experience with machine learning and data science workflows is a plus;

Knowledge of data governance and data security best practices;

Strong analytical, problem-solving, and communication skill; and,

Ability to work independently and as part of a team in a fast-paced environment.

Demonstrates thought leader-level abilities with, and/or a proven record of success directing efforts in the following areas:

Applying modern, cloud-based technology skills, ability to research emerging trends, analyst publications, and adoption of modern technologies in solution architectures;

Collaborating and contributing as a team member: understanding personal and team roles, contributing to a positive working environment by building proven relationships with team members, proactively seeking guidance, clarification and feedback;

Prioritizing and handling multiple tasks, researching and analyzing pertinent client, industry and technical matters, utilizing problem-solving skills, and communicating effectively in written and verbal formats to various audiences (including various levels of management and external clients) in a professional business environment; and,

Coaching and collaborating with associates who assist with this work, including providing coaching, feedback and guidance on work performance.

Learn more about how we work: https://pwc.to/how-we-work

PwC does not intend to hire experienced or entry level job seekers who will need, now or in the future, PwC sponsorship through the H-1B lottery, except as set forth within the following policy: https://pwc.to/H-1B-Lottery-Policy.

All qualified applicants will receive consideration for employment at PwC without regard to race; creed; color; religion; national origin; sex; age; disability; sexual orientation; gender identity or expression; genetic predisposition or carrier status; veteran, marital, or citizenship status; or any other status protected by law. PwC is proud to be an affirmative action and equal opportunity employer.

For positions based in San Francisco, consideration of qualified candidates with arrest and conviction records will be in a manner consistent with the San Francisco Fair Chance Ordinance.

Applications will be accepted until the position is filled or the posting is removed, unless otherwise set forth on the following webpage. Please visit this link for information about anticipated application deadlines: https://pwc.to/us-application-deadlines

The salary range for this position is: $100,000 - $232,000, plus individuals may be eligible for an annual discretionary bonus. For roles that are based in Maryland, this is the listed salary range for this position. Actual compensation within the range will be dependent upon the individual's skills, experience, qualifications and location, and applicable employment laws. PwC offers a wide range of benefits, including medical, dental, vision, 401k, holiday pay, vacation and more. To view our benefits at a glance, please visit the following link: https://pwc.to/benefits-at-a-glance

#LI-Hybrid

Specialty/Competency: Oracle Industry/Sector: Not Applicable Time Type: Full time Travel Requirements: Up to 60% A career in Oracle consulting will provide you with the opportunity to help organisations use enterprise technology to achieve their digital technology goals and capitalise on business opportunities. We help our clients implement and effectively use Oracle offerings to solve their business problems and fuel success in the areas of finance, operations, human capital, customer, and governance, risk and compliance. The Oracle Data and Analytics team, within Oracle consulting, provides you with the opportunity to help our clients transform their organization through better use of data and analytics to drive profitable growth, reduce operational costs, improve customer experience, empower employees, reduce operational risk, and address regulatory requirements. We help our clients define their Data and Analytics strategy and effectively see the strategy through execution. We help implement and effectively use broad technology offerings including Oracle Analytics and Data solutions along with enhanced Data Governance and Data Management capabilities to solve their business problems and achieve their strategic business goals. To really stand out and make us fit for the future in a constantly changing world, each and every one of us at PwC needs to be a purpose-led and values-driven leader at every level. To help us achieve this we have the PwC Professional; our global leadership development framework. It gives us a single set of expectations across our lines, geographies and career paths, and provides transparency on the skills we need as individuals to be successful and progress in our careers, now and in the future. As a Manager, you'll work as part of a team of problem solvers, helping to solve complex business issues from strategy to execution. PwC Professional skills and responsibilities for this management level include but are not limited to: Develop new skills outside of comfort zone. Act to resolve issues which prevent the team working effectively. Coach others, recognise their strengths, and encourage them to take ownership of their personal development. Analyse complex ideas or proposals and build a range of meaningful recommendations. Use multiple sources of information including broader stakeholder views to develop solutions and recommendations. Address sub-standard work or work that does not meet firm's/client's expectations. Use data and insights to inform conclusions and support decision-making. Develop a point of view on key global trends, and how they impact clients. Manage a variety of viewpoints to build consensus and create positive outcomes for all parties. Simplify complex messages, highlighting and summarising key points. Uphold the firm's code of ethics and business conduct. Basic Qualifications : Minimum Degree Required : Bachelor Degree Minimum Years of Experience : 6 year(s) Preferred Qualifications : Degree Preferred : Bachelor Degree Preferred Knowledge/Skills : Demonstrates intimate abilities and/or a proven record of success as a team leader in the following areas: Managing data strategy, data roadmap, data governance, and data solution implementation projects; Leading a team of on and off-shore resources, including business analysts, data analysts, solution architects and developers to deliver a data focused engagement; Analyzing end-to-end data flows and conduct hands-on data analysis; Leading the design of improved data flows, data architecture, and data solutions in partnership with the subject matter experts and client counterparts / team members; Driving technology and data solution assessments to provide point-of-view and recommendations; Overseeing project timelines, risks and issues, and escalate when appropriate Experience utilizing, designing and leading data programs with one or more of the following products: Oracle OFSAA, Oracle ADW, Oracle FAW, OAC , Power BI, Power Query, Amazon AWS (Redshift and Related Toolsets) and/or Microsoft Azure; Managing consulting engagements pertaining to Data Architecture, Data Models design and implementation leveraging agile data modeling techniques; Designing of cloud-based data and analytical solutions, Finance Data Models that are part of technology modernization initiatives based on standard industry practices; Understanding of the functionality of finance systems, such as General Ledgers, Sub-Ledgers, Hyperion, Finance Data Warehouse/Repositories, and other related applications; Experience executing as part of large finance, enterprise and/or data architecture transformation programs; Understanding various data domains industry specific but required by finance organizations within the enterprise; Understanding common data and reporting issues facing clients within the financial services industry; Managing efforts with identifying and addressing client needs by building, maintaining, and utilizing networks of client relationships and community involvement; communicating value propositions; managing resource requirements, project workflow, budgets, billing, and collections; and, preparing and/or coordinating complex written and verbal materials; Supervising teams to create an atmosphere of trust; seeking diverse views to encourage improvement and innovation; and coaching staff including providing timely meaningful written and verbal feedback; Automating of processes and analytics and the technologies that enable automation (Alteryx, UiPath, Power BI, etc.); and, Utilizing technical skills in MS Office, G-suite. Learn more about how we work: https://pwc.to/how-we-work PwC does not intend to hire experienced or entry level job seekers who will need, now or in the future, PwC sponsorship through the H-1B lottery, except as set forth within the following policy: https://pwc.to/H-1B-Lottery-Policy. All qualified applicants will receive consideration for employment at PwC without regard to race; creed; color; religion; national origin; sex; age; disability; sexual orientation; gender identity or expression; genetic predisposition or carrier status; veteran, marital, or citizenship status; or any other status protected by law. PwC is proud to be an affirmative action and equal opportunity employer. For positions based in San Francisco, consideration of qualified candidates with arrest and conviction records will be in a manner consistent with the San Francisco Fair Chance Ordinance. Applications will be accepted until the position is filled or the posting is removed, unless otherwise set forth on the following webpage. Please visit this link for information about anticipated application deadlines: https://pwc.to/us-application-deadlines The salary range for this position is: $100,000 - $232,000, plus individuals may be eligible for an annual discretionary bonus. For roles that are based in Maryland, this is the listed salary range for this position. Actual compensation within the range will be dependent upon the individual's skills, experience, qualifications and location, and applicable employment laws. PwC offers a wide range of benefits, including medical, dental, vision, 401k, holiday pay, vacation and more. To view our benefits at a glance, please visit the following link: https://pwc.to/benefits-at-a-glance LI-Remote

Specialty/Competency: Data, Analytics & AI Industry/Sector: EUR X-Sector Time Type: Full time Travel Requirements: Up to 80% At PwC, our people in data and analytics engineering focus on leveraging advanced technologies and techniques to design and develop robust data solutions for clients. They play a crucial role in transforming raw data into actionable insights, enabling informed decision-making and driving business growth. In data engineering at PwC, you will focus on designing and building data infrastructure and systems to enable efficient data processing and analysis. You will be responsible for developing and implementing data pipelines, data integration, and data transformation solutions. Enhancing your leadership style, you motivate, develop and inspire others to deliver quality. You are responsible for coaching, leveraging team members unique strengths, and managing performance to deliver on client expectations. With your growing knowledge of how business works, you play an important role in identifying opportunities that contribute to the success of our Firm. You are expected to lead with integrity and authenticity, articulating our purpose and values in a meaningful way. You embrace technology and innovation to enhance your delivery and encourage others to do the same. Examples of the skills, knowledge, and experiences you need to lead and deliver value at this level include but are not limited to: Analyse and identify the linkages and interactions between the component parts of an entire system. Take ownership of projects, ensuring their successful planning, budgeting, execution, and completion. Partner with team leadership to ensure collective ownership of quality, timelines, and deliverables. Develop skills outside your comfort zone, and encourage others to do the same. Effectively mentor others. Use the review of work as an opportunity to deepen the expertise of team members. Address conflicts or issues, engaging in difficult conversations with clients, team members and other stakeholders, escalating where appropriate. Uphold and reinforce professional and technical standards (e.g. refer to specific PwC tax and audit guidance), the Firm's code of conduct, and independence requirements. Minimum Degree Required Bachelor's Degree Required Field(s) of Study Management Information Systems, Computer and Information Science, Systems Engineering,Electrical Engineering,Chemical Engineering,Industrial Engineering,Mathematics,Statistics,Mathematical Statistics Minimum Year(s) of Experience 5 year(s) Preferred Qualifications Demonstrates abilities and/or success in one or many of the following areas: Design and implement comprehensive data architecture strategies that meet the current and future business needs; Develop and document data models, data flow diagrams, and data architecture guidelines; Ensure data architecture is compliant with data governance and data security policies; Collaborate with business stakeholders to understand their data requirements and translate them into technical solutions; Evaluate and recommend new data technologies and tools to enhance data architecture; Build, maintain, and optimize ETL/ELT pipelines for data ingestion, processing, and storage across batch and real-time data processing; Build, maintain, and optimize Data Quality rules leveraging DQ tools and/or other ETL/ELT tools; Develop and deploy scalable data storage solutions using AWS, Azure and GCP services such as S3, Redshift, RDS, DynamoDB, Azure Data Lake Storage, Azure Cosmos DB, Azure SQL DB, GCP Cloud Storage etc.; Implement data integration solutions using AWS Glue, AWS Lambda, Azure Data Factory, Azure Functions, GCP Functions, GCP Dataproc, Dataflow and other relevant services; Design and manage data warehouses and data lakes, ensuring data is organized and accessible; Monitor and troubleshoot data pipelines, data warehouses and workflows to ensure data quality, system reliability, performance and cost management; Implement IAM roles and policies to manage access and permissions within AWS, Azure, GCP; Use AWS CloudFormation, Azure Resource Manager templates, Terraform for infrastructure as code (IaC) deployments; Use AWS, Azure and GCP DevOps services to build and deploy DevOps pipelines; Implement data security best practices using AWS, Azure, GCP, Snowflake or Databricks; Optimize Cloud resources for cost, performance, and scalability; Strong proficiency in SQL and experience with relational databases; Proficient in programming languages such as Python, Java, or Scala; Familiarity with big data technologies like Hadoop, Spark, or Kafka is a plus; Experience with machine learning and data science workflows is a plus; Knowledge of data governance and data security best practices; Strong analytical, problem-solving, and communication skill; and, Ability to work independently and as part of a team in a fast-paced environment. Demonstrates thought leader-level abilities with, and/or a proven record of success directing efforts in the following areas: Applying modern, cloud-based technology skills, ability to research emerging trends, analyst publications, and adoption of modern technologies in solution architectures; Collaborating and contributing as a team member: understanding personal and team roles, contributing to a positive working environment by building proven relationships with team members, proactively seeking guidance, clarification and feedback; Prioritizing and handling multiple tasks, researching and analyzing pertinent client, industry and technical matters, utilizing problem-solving skills, and communicating effectively in written and verbal formats to various audiences (including various levels of management and external clients) in a professional business environment; and, Coaching and collaborating with associates who assist with this work, including providing coaching, feedback and guidance on work performance. Learn more about how we work: https://pwc.to/how-we-work PwC does not intend to hire experienced or entry level job seekers who will need, now or in the future, PwC sponsorship through the H-1B lottery, except as set forth within the following policy: https://pwc.to/H-1B-Lottery-Policy. All qualified applicants will receive consideration for employment at PwC without regard to race; creed; color; religion; national origin; sex; age; disability; sexual orientation; gender identity or expression; genetic predisposition or carrier status; veteran, marital, or citizenship status; or any other status protected by law. PwC is proud to be an affirmative action and equal opportunity employer. For positions based in San Francisco, consideration of qualified candidates with arrest and conviction records will be in a manner consistent with the San Francisco Fair Chance Ordinance. Applications will be accepted until the position is filled or the posting is removed, unless otherwise set forth on the following webpage. Please visit this link for information about anticipated application deadlines: https://pwc.to/us-application-deadlines The salary range for this position is: $100,000 - $232,000, plus individuals may be eligible for an annual discretionary bonus. For roles that are based in Maryland, this is the listed salary range for this position. Actual compensation within the range will be dependent upon the individual's skills, experience, qualifications and location, and applicable employment laws. PwC offers a wide range of benefits, including medical, dental, vision, 401k, holiday pay, vacation and more. To view our benefits at a glance, please visit the following link: https://pwc.to/benefits-at-a-glance LI-Hybrid

Data Engineer Jobs in New Orleans, LA

Data Engineer
December 8, 2024

Data Engineer Manager
December 3, 2024

Solutions Architect Oracle Data Analytics Manager
November 26, 2024

Data Engineer Manager
November 23, 2024

Quick filters

Top companies

Data Engineer Jobs in New Orleans, LA

Data EngineerDecember 8, 2024

Data Engineer ManagerDecember 3, 2024

Solutions Architect Oracle Data Analytics ManagerNovember 26, 2024