Jobs → Data & Analytics → Data Engineering Lead

About the Role We are seeking an experienced Data Engineering Lead & Scrum Master to provide technical leadership and agile delivery guidance to our data engineering team. This dual-function leadership role involves designing enterprise data pipelines and delivering large-scale data solutions using advanced SQL, Teradata, and mainframe technologies. Key Responsibilities • Design and develop enterprise data pipelines and large-scale data solutions • Optimize Teradata performance through query tuning, physical schema design, and utility automation • Integrate mainframe systems by developing and maintaining JCL scripts • Build and support data ingestion and transformation jobs for modern cloud platforms like Snowflake and Microsoft Fabric • Facilitate agile ceremonies including sprint planning, daily stand-ups, and retrospectives • Track sprint velocity and optimize team throughput • Collaborate with cross-functional teams to translate business requirements into technical specifications Requirements • 10+ years of dedicated data engineering or enterprise data warehousing experience • 2+ years of hands-on experience as a Scrum Master or Agile Delivery Lead • Deep hands-on experience with Teradata architecture, workload management, and enterprise utilities • Proficient in reading, writing, and debugging JCL scripts • Strong understanding of dimensional modeling, Data Vault, star/snowflake schemas, and data lifecycle management • Experience with CI/CD pipelines and version control systems like Git Preferred Qualifications • Hands-on exposure to Snowflake architecture and features • Hands-on exposure to Microsoft Fabric (OneLake, Lakehouse/Warehouse creation, Fabric Data Factory, or Delta Lake formats) • Retail domain experience