jobs in TEAMLEASE DIGITAL SOLUTIONS PTE. LTD.

TEAMLEASE DIGITAL SOLUTIONS PTE. LTD. Hiring! Full Time Senior Teradata Data Engineer in West Region (Singapore), Earn up to SGD 9,000 - Ricebowl

Senior Teradata Data Engineer

TEAMLEASE DIGITAL SOLUTIONS PTE. LTD.

SGD9,000 - SGD9,000 Per Month

West Region (Singapore)

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Working Location

  • 18 BOON LAY WAY West Region (Singapore) Singapore

Job Description

Responsibilities

Key Responsibilities

  • Design, develop, and maintain enterprise-scale ETL/ELT solutions on the Teradata Enterprise Data Warehouse (EDW) platform.
  • Develop and optimize complex Teradata SQL, BTEQ, and shell-script automation for large-scale batch processing.
  • Build and support enterprise data ingestion, transformation, and data integration frameworks.
  • Perform SQL performance tuning, workload optimization, and production support for mission-critical data platforms.
  • Collaborate with business and technical stakeholders to deliver enterprise data warehouse solutions.
  • Support enterprise data modernization, automation, and batch scheduling using Control-M and related tools.

Requirements

  • Strong experience in Enterprise Data Warehouse (EDW), ETL/ELT, Data Engineering, and enterprise data platform technologies.
  • Strong hands-on experience with Teradata SQL, BTEQ, FastLoad, MultiLoad, TPump, and TPT.
  • Proven experience developing enterprise ETL/ELT solutions using Informatica PowerCenter and shell scripting.
  • Strong expertise in SQL performance tuning, workload management, and large-volume data processing.
  • Experience with Control-M or equivalent enterprise scheduling tools.
  • Working knowledge of Hadoop technologies (Hive, Spark, Kafka) and enterprise data integration.
  • Experience supporting banking, financial services, or other large enterprise data warehouse environments.
  • Strong analytical, stakeholder management, and production support experience.

Preferred

  • Experience with Python, Git, Linux, Agile/Scrum, and CI/CD practices.
  • Exposure to enterprise cloud data platforms or data modernization initiatives.
  • Experience leading technical teams and mentoring engineers.

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