
3–10 years of hands-on experience in Python-based data engineering.
1. Proficient in developing data pipelines using Python, PySpark, Pandas, especially on Azure cloud platforms.
2. Deep knowledge of ETL/ELT development, OLAP systems, and analytical applications.
3. Experience in batch and streaming data ingestion from multiple data sources.
4. Strong SQL development skills with RDBMS technologies (e.g., Oracle, PostgreSQL, SQL Server).
5. Skilled in CI/CD pipelines, DevOps practices, Git version control, and branching strategies.
6. Exposure to REST APIs and data migration tools.
7. Strong communication, documentation, and presentation skills.
8. Familiar with Azure services including:
- Azure Data Factory (ADF)
- Azure Databricks
- Azure Synapse
- Azure SQL & DWH
- Azure Data Lake Storage / Analytics
- Azure Database Migration Services
Annual CTC: Competitive salary