Data Engineer

Position Summary

Lead the design and development of scalable and high-performance solutions using AWS services.

Experience with Databricks, Elastic search, Kibanna, S3.

Experience with Extract, Transform, and Load (ETL) processes and data pipelines.

Write clean, maintainable, and efficient code in Python/Scala.

Experience with AWS Cloud-based Application Development

Experience in Electronic Health Records (EHR) HL7 solutions.

Implement and manage Elastic Search engine for efficient data retrieval and analysis.

Experience with data warehousing, data visualization Tools, data integrity

Execute full software development life cycle (SDLC) including experience in gathering requirements and writing functional/technical specifications for complex projects.

Excellent knowledge in designing both logical and physical database model

Develop database objects including stored procedures, functions,

Extensive knowledge on source control tools such as GIT

Develop software design documents and work with stakeholders for review and approval.

Exposure to flowcharts, screen layouts and documentation to ensure logical flow of the system requirements

Experience working on large agile projects.

Experience or Knowledge on creating CI/CD pipelines using Azure Devops

Skills Needed:

12+ years developing complex database systems.

8+ years Databricks.

8+ years using Elastic search, Kibanna.

8+ years using Python/Scala.

8+ years Oracle.

5+ years experience with Extract, Transform, and Load (ETL) processes and developing Data Pipelines.

5+ years experience with AWS.