About the role
We are looking for a Senior Data Engineer to help drive the evolution of our Azure-based Data Platform and Lakehouse architecture.
This role is focused on Data Products development. The successful candidate will build pipelines in ADF, DAGs in Airflow and work closely with POs to refine business requirements and transform business needs into reliable Data Products in Databricks.
Key Responsibilites
Hands-on Data Product development • Implement scalable, reliable and reusable data pipelines using Azure Data Factory and Apache Airflow. • Develop data transformations in Azure Databricks (PySpark / SQL) to create/extend data products following the Medallion Architecture layers: • Bronze (raw ingestion) • Silver (cleansed & conformed) • Gold (business-ready data products) • Optimize performance, cost, and reliability of data workloads. • Raise important questions during business maturation in order to detect risks before development stage.
Technical Leadership • Participate in architecture reviews and technical decision-making. • Promote engineering excellence through code reviews and design reviews. • Collaborate with Architects, Product Owners in data product technical maturation.
Support & Operations (Run Team Collaboration) • Provide support to the Run/Operations team for production pipelines and data products for complex topics. • Troubleshoot and resolve data incidents, failures, and performance issues • Participate in incident management, root cause analysis, and post-mortems. • Ensure proper handover, documentation, and operational readiness of developed solutions. • Contribute to improving runbooks, monitoring, and operational processes.
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