Senior Software Engineer, Data Engineering

Design, develop, and maintain data ingestion, transformation, and orchestration pipelines (batch and real-time).

Build and optimize data Lakehouse architectures using Azure Synapse, Delta Lake, or similar frameworks.

Integrate and manage structured and unstructured data sources (SQL/NoSQL, files, documents, IoT streams).

Develop and operationalize ETL/ELT pipelines using Azure Data Factory, Databricks, or Apache Spark.

Collaborate with Data Scientists to prepare and serve ML-ready datasets for model training and inference.

Implement data quality, lineage, and governance frameworks across pipelines and storage layers.

Work with BI tools (Power BI, Superset, Tableau) to enable self-service analytics for business teams.

Deploy and maintain data APIs and ML models in production using Azure ML, Kubernetes, and CI/CD pipelines.

Ensure scalability, performance, and observability of data workflows through effective monitoring and automation.

Collaborate cross-functionally with engineering, product, and business teams to translate insights into action.