- Strong programming experience with Python and SQL.
- Strong practical experience with data engineering and data pipeline development.
- Experience with Delta Lake / Delta tables and lakehouse architectures.
- Experience with Apache Spark / PySpark.
- Experience developing data ingestion and transformation pipelines.
- Robust understanding of ETL/ELT patterns and data integration.
- Experience working with relational and non-relational data sources.
- Understanding of data modeling, partitioning, indexing, and performance optimization.
- Experience with REST APIs, file-based interfaces, and enterprise system integration.
- Understanding of data quality, data governance, metadata, and data lineage.
- Experience with cloud-based data platforms, preferably Microsoft Azure / Databricks.




- Experience with Git and CI/CD practices.

Preferred Skills

- Experience with Microsoft Fabric, Azure Data Factory, Azure Databricks, or equivalent data-fabric technologies.

- Experience with Microsoft Fabric OneLake, Lakehouse, Data Factory, and Data Warehouse.
- Experience with Kafka or other streaming technologies.
- Experience with data catalog/governance platforms.
- Knowledge of dimensional modeling and enterprise data warehouse concepts.
- Experience with infrastructure automation and cloud deployment.
- Familiarity with APIs, microservices, and event-driven architectures.

📌 Senior Data Engineer (India)
🏢 Deltacubes
📍 India