Key Responsibilities:
- Develop and maintain data processing logic using Python
- Build, optimize, and support data pipelines using AWS Glue and Lambda
- Write and optimize complex SQL queries for analytics and operational workloads
- Support platform reliability and pipeline monitoring
- Contribute to CI/CD processes using GitHub and GitHub Actions
- Collaborate on infrastructure improvements using Infrastructure-as-Code principles
- Troubleshoot and resolve pipeline failures and performance issues
- Support data consumption layers used by BI tools
Must Have:
- 4+ years of experience as a Data Engineer / Big Data Engineer
- Strong hands-on Python experience (data processing and application logic)
- Advanced SQL skills (query optimization, performance tuning)
- Production experience with AWS Lambda and AWS Glue
- Experience working with CI/CD tools (GitHub, GitHub Actions)
- Familiarity with Snowflake and/or Aurora
- Understanding of Infrastructure-as-Code (IaC) concepts
- Comfortable working in the ET time zone
Nice to Have:
- Experience with BI tools (Sigma preferred)
- Experience with event-driven architectures
- Exposure to enterprise-scale data platforms
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