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BAU Lead - Data Engineering

ESPIRE INFOLABS (SINGAPORE) PTE. LTD. · Singapore

Permanent Senior 🇬🇧 English
AWS S3 Glue DMS MWAA IAM Snowflake Airflow SQL Python PySpark Spark Oracle Hive Impala Data lake Data quality Data security

Job description

About the role

We are seeking a seasoned BAU Lead – Data Engineering to head our data operations in a cloud‑first environment. The role combines technical leadership with hands‑on implementation of AWS and Snowflake solutions, ensuring stable production support and continuous improvement of our data platforms.

Key responsibilities

  • Design and develop tools to streamline data flows between internal/external systems and the data lake/warehouse.
  • Collaborate with business stakeholders to define data structure, availability, scalability and accessibility requirements.
  • Build robust, reproducible ingestion pipelines that collect, clean, harmonise and consolidate diverse data sources.
  • Lead migration of legacy transformation jobs from Oracle, Hive, Impala, MS‑SQL to Snowflake, Spark and Python on AWS Glue.
  • Provide day‑to‑day BAU operations: production support, incident management, platform stability and performance tuning.
  • Document processes, maintain datasets and drive data‑quality improvement initiatives.
  • Work closely with Data Scientists, Architects and DevOps engineers on analytics projects and deployment pipelines.

Required profile

  • Proven experience leading a team of data engineers in a BAU or production‑support environment.
  • Strong background in AWS services (S3, Glue, DMS, MWAA, IAM) and Snowflake architecture.
  • Hands‑on expertise with SQL, Python and PySpark, as well as workflow orchestration tools such as Airflow/MWAA.
  • Demonstrated ability to migrate legacy data pipelines to modern cloud‑native solutions.
  • Excellent problem‑solving skills and a strategic vision for data management.

Required skills

  • AWS (S3, Glue, DMS, MWAA, IAM)
  • Snowflake
  • Airflow / MWAA
  • SQL
  • Python
  • PySpark / Spark
  • Oracle, Hive, Impala, MS‑SQL
  • Data lake and data warehouse concepts
  • Data pipeline development and orchestration
  • Data quality and security best practices

What we offer

  • Competitive monthly salary (SGD 7,000‑8,000)
  • Opportunity to lead a high‑performing data engineering team
  • Exposure to cutting‑edge cloud technologies in a fast‑growing company
  • Professional development and continuous learning support

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Le contrat proposé est un Permanent basé à Singapore.

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Published 1 month ago

Expires 1 week from now

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ESPIRE INFOLABS (SINGAPORE) PTE. LTD.

Singapore