Senior Data Engineer
* 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.
* Strong 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.