Description
The role leads the design, development, deployment, and maintenance of enterprise data and analytics platforms, including distributed ingestion, ETL/ELT pipelines, data quality, governance, security, cloud data storage, Spark workloads, real-time processing, CI/CD, and platform automation. It requires strong technical leadership, experience leading data engineering teams and initiatives, and hands-on expertise with Azure, Databricks, Spark, Python, Scala, SQL, lakehouse technologies, and related data engineering practices. The position also involves mentoring team members, collaborating with business and technical stakeholders, and applying Agile methodologies.
