- Strong hands-on experience developing Python-based ETL/data pipelines and data integration workflows.
- Strong SQL skills, including complex queries, stored procedures, data validation, reconciliation, and troubleshooting.
- 2+ years of experience with AWS Glue, S3, RDS, DynamoDB, and Lambda; exposure to AWS Bedrock is a plus.
- Experience with Snowflake, Data Lakes, batch jobs, data feeds, REST APIs, web services, and Swagger/OpenAPI.
- Hands-on experience with ETL testing, automation, test plans, test cases, and data quality validation.
- Familiarity with Docker, Kubernetes, Git, PyTest/JUnit/TestNG, and CI/CD tools such as Jenkins, TeamCity, or Octopus.
- Experience implementing monitoring, observability, automated quality gates, and AI-assisted/low-code automation to improve testing and pipeline reliability.
- Strong debugging and root-cause analysis skills, with experience working in Agile environments using Jira; AI/ML and training dataset exposure is a plus.