Senior BAU Data Engineering Lead — AWS & Snowflake

Espire Infolabs (Singapore) Pte Ltd; Singapore; On-site; SGD 120,000 - 180,000; Full time

Job summary

Espire Infolabs Singapore is seeking a seasoned BAU Lead - Data Engineering to steer data operations in a cloud-first environment. You will lead a team, drive production support, and implement scalable data pipelines using AWS, Snowflake, and Spark, while aligning data strategy with business needs.

The role requires hands-on leadership, deep technical expertise in AWS and Snowflake, and a track record of delivering reliable data platforms and improvements in a dynamic, stakeholder-driven setting.

Qualifications

• 8+ years of data engineering experience.
• Bachelor's degree in computer science or STEM.
• 5+ years as a Lead handling support & production issues.
• 2+ years with large scale datasets and data lake/warehouse techs (AWS Redshift, Google BigQuery, Snowflake).
• 3+ years ETL (AWS Glue), S3, RDS, Kinesis, Lambda, Airflow, Step Functions.
• Agile/customer-facing experience.
• Distributed systems and AWS knowledge.
• Data streaming and scalable processing experience.
• SQL, Python, UNIX shell, Spark proficiency.
• RDBMS, data ingestion, data flows, and data integration understanding.
• SDLC/Lean/Agile experience; CI/CD and Git deployments.
• Excellent communication with technical, business, and management teams.

Responsibilities

• Lead day-to-day BAU data operations, production support, incident management, and platform stability.
• Develop tools to improve data flows between internal/external systems and the data lake/warehouse.
• Collaborate with stakeholders to define data structure, availability, scalability, and accessibility.
• Build robust data ingest pipelines to collect, clean, harmonize, merge, and consolidate data sources.
• Document processes and steps for data pipelines and operations.
• Lead migrations of data transformation jobs to Snowflake/Glue-based stack (and related tech).
• Design and implement data management processes including sourcing, integration, and transformation.
• Collaborate with Data Scientists, Architects and DevOps on analytics projects.
• Ensure data security protocols and regulatory compliance.

Skills

Data team leadership

AWS architecture

Snowflake

BAU operations

Airflow/MWAA

SQL

Python/PySpark

Cloud optimization

Data strategy

Data management design

Data security

Data integration

CI/CD & Git

Education

Bachelor's degree in Computer Science or STEM

Tools

AWS

Snowflake

Airflow

MWAA

Spark

Python

SQL

UNIX shell

Job description

Espire Infolabs Singapore is seeking a seasoned BAU Lead - Data Engineering to steer data operations in a cloud-first environment. You will lead a team, drive production support, and implement scalable data pipelines using AWS, Snowflake, and Spark, while aligning data strategy with business needs.

The role requires hands-on leadership, deep technical expertise in AWS and Snowflake, and a track record of delivering reliable data platforms and improvements in a dynamic, stakeholder-driven setting.