We are looking for a Data Engineer with strong experience in ETL/Data Engineering, Python, SQL, and AWS to build and support scalable data pipelines and data-quality processes.
Key Responsibilities:
- Develop ETL pipelines, MySQL extraction, staging loads, and data-quality checks.
- Build data transformations, masking/anonymization, and validation logic.
- Work on incremental/CDC loads and workflow orchestration using AWS Glue, Lambda, Step Functions, MWAA/Airflow.
- Write unit tests, participate in code reviews, and support QA/UAT and production deployments.
- Create technical documentation and provide deployment/hypercare support.
Required Skills:
- 4+ years of experience in ETL/Data Engineering.
- Strong Python and SQL skills; hands-on exposure to PySpark.
- Hands-on experience with AWS S3, Glue, Lambda and/or Step Functions.
- Robust MySQL, data validation/data quality, and Git experience.
- Exposure to CDC/incremental loading and data masking/anonymization is a plus.
- Financial services or bureau data experience is preferred.
📌 Aws Data Engineer (Hyderabad)
🏢 Ascendion Engineering
📍 Hyderabad
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