- Develop and maintain data pipelines and ETL/ELT processes.
- Build data solutions using Python and PySpark.
- Work with AWS cloud services for data processing and storage.
- Write and optimize SQL queries.
- Develop and manage pipelines using ADF.
- Build and maintain data transformation workflows using dbt.
- Troubleshoot data pipeline and production issues.
Ideal Candidate :
- 5+ years of hands-on experience across Python, PySpark, AWS, SQL, ADF, and dbt.
📌 Data Engineer - Python/PySpark/AWS (India)
🏢 SYSMIND
📍 India
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