Lead Data Engineer

Participate in full SDLC: requirements, technical specs, design, development, testing, and deployment.
Work in Agile environments, leverage Git for source control, and support CI/CD (Azure DevOps experience is a plus).
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Required Experience
12+ years developing complex database systems.
8+ years with Databricks.
8+ years with ElasticSearch & Kibana.
8+ years with Python/Scala.
8+ years with Oracle.
5+ years building ETL processes / data pipelines.
5+ years with AWS (cloud-based data engineering).
5+ years with data warehousing, data visualization, and data integrity practices.
Experience with CMM/CMMI Level 3, Agile, and test-driven development.
3+ years (or more) exposure to CI/CD pipelines in Azure DevOps (nice to have).