Data Engineer

• Develops integrated business and/or enterprise application solutions in data analytical space to ensure specifications are flexible, scalable, and maintainable and meet architectural standards.

• Develops software/data solutions for business requirements using a good understanding of programming fundamentals.

• Ensures good unit testing and functional testing coverage accounting for all boundary conditions according to the system integration test plan and supports user acceptance testing.

• Follows best source control and continuous integration/continuous deployment practices for efficient testing and deployment of code to different environments.

• Reviews technical documents, design, code, and demonstrations and performs peer reviews for design and code to stay aligned in team approach.

• Develops and participates in group design for data pipelines to move data between different operational systems, transactional systems, streaming systems, and big data systems (on-premises or cloud).

• Implements defined business metrics using a good understanding of structured query language (SQL), in collaboration with technical leads, data analysts, and product owners.

• Implements transformation logic to aggregate, filter, and combine multiple datasets to provide essential business consumable datasets and metrics.

• Analyzes and organizes data to determine data sets and metrics required to drive insights requested by the business.

• Helps develop, design, maintain, and enhance operational, analytical (including self-serve) applications across various business domains; delivers reports on-premises and cloud infrastructure; uses frameworks and reusable components whenever possible.

• Troubleshoots system issues, helps in root cause analysis, and drafts reports that provide insight into system support activities; ensures conformance of the technology solutions with IT governance and regulatory frameworks.

• Helps implement infrastructure-related projects for the organization.