- 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