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Jeet Analytics

Singapore / Global

Data BAU Lead – Data Engineering

Job Description

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

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