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.

Required Qualifications:
2 years of experience in data, business intelligence, or platform engineering, data warehousing/ETL, or software engineering
2 years of expertise in object-oriented programming/structure programming, SQL, and scripting
2 years of experience in big data technology and Cloud big data technologies
1 year of experience working on project(s) involving the implementation of solutions applying development life cycles (SDLC)
Bachelors degree in engineering, computer science, computer information systems (CIS), or related field (or equivalent work experience in lieu of degree)

Preferred Qualifications:
Masters degree in computer science, CIS, or related field