Summary from listing
The Hands-On Data Tech Lead will modernize and scale an enterprise data platform by migrating legacy SQL Server/SSIS packages to Azure Databricks and PySpark, architecting end-to-end ELT/ETL pipelines, and maintaining high-performance batch and real-time data workflows. The role also involves mentoring data engineers, enforcing code and data-quality standards, optimizing Spark and cloud resources, and implementing CI/CD and secure deployment practices. It requires 8–10 years of SSIS experience, advanced Python and PySpark skills, and production-level knowledge of the Azure Big Data Stack.
