Data BAU Lead – Data Engineering

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