Data BAU Lead- Data Engineering

Summary

Lead a team maintaining cloud data pipelines, warehouses, and lakes; migrate legacy systems to Snowflake and AWS Glue/Spark while improving data quality and automation.

We are looking for an experienced Data BAU Lead to lead data engineering operations, production support, and continuous improvement in a cloud-first environment.

Key Responsibilities
  • Lead a team of Data Engineers managing BAU operations, production support, incidents, and platform stability.
  • Design, develop and support scalable data pipelines, data feeds, data lakes and data warehouses.
  • Drive migration of legacy Oracle, MS-SQL, Hive and Impala workloads to Snowflake, Spark and AWS Glue.
  • Work closely with business, architects, Data Scientists and DevOps teams to deliver data solutions.
  • Improve data quality, performance, monitoring, automation and operational efficiency.
  • Support data strategy, architecture, security and governance initiatives.
Key Skills & Experience
  • 7+ years of Data Engineering experience, including 2+ years in hands-on Lead/Production Support roles.
  • Strong expertise in AWS – S3, Glue, DMS, MWAA/Airflow, IAM, Lambda, RDS, Kinesis and Step Functions.
  • Strong Snowflake expertise and data warehouse/data lake experience.
  • Hands-on programming skills in SQL, Python, PySpark, Spark and Unix Shell.
  • Experience with ETL, data ingestion, data integration, distributed systems and large-scale datasets.
  • Strong understanding of CI/CD, Git, Agile/SDLC and cloud optimization.
  • Proven experience in team leadership, stakeholder management and production/BAU environments.
  • Bachelor’s degree in computer science, Engineering, STEM or related field

See also

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