Data Engineer

Role: Data Engineer

Experience: -10 Years

Location: - Fort Worth, TX

You will be a part of an Agile team to build healthcare applications and implement new features while adhering to the best coding development standards .

Required Skills: -

• Strong Python (data manipulation, packaging, testing) and FastAPI (async programming, dependency injection, Pydantic models, routers, middleware).
• Hands-on experience with AWS Glue (Jobs, Crawlers, Data Catalog) and PySpark; familiarity with S3, Athena, IAM, CloudWatch.
• Proven CI/CD experience for data and API workloads-build, test, deploy, artifact versioning, and environment promotion.
• Solid understanding of data modeling, ETL/ELT, and schema design for analytics (partitioning, file formats like Parquet/ORC).
• Experience with version control (Git), code review practices, and branching strategies (GitFlow/Trunk-based).
• Knowledge of RESTful design, API security (OAuth2/JWT), and observability (logs, metrics, tracing).
• Practical knowledge of SQL and performance tuning for analytical queries.
• Strong debugging and performance optimization skills; ability to write clean, maintainable code and documentation.

Educational Qualifications: -

• Engineering Degree BE/ME/BTech/MTech/BSc/MSc.
• Technical certification in multiple technologies is desirable.

Mandatory skills: -

• Fast API - Python
• AWS
• AWS Glue
• Postgre SQL

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