Senior Data Engineer - CR 12/11/26

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.

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.

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.