M-2025-1636/37/38/39 - Data Engineer

NTT Data Singapore; Singapore; On-site; SGD 80,000 - 120,000; Full time

Job summary

A technology solutions provider in Singapore is seeking a Lead Data Engineer to design and optimize scalable data pipelines. The ideal candidate will have strong hands-on experience with Informatica/IDMC or Databricks with Python. Responsibilities include integrating data from multiple sources and collaborating with analytics teams to ensure data quality and compliance. This role requires solid understanding of ETL processes and data modeling. A certification in AWS or Databricks is preferred.

Qualifications

• Must have strong hands-on experience with Informatica/IDMC or Databricks with Python.
• Familiarity with Tableau or Oracle Analytics Server for data visualization.
• Solid understanding of data integration, ETL concepts, and data modeling.

Responsibilities

• Design, build, and optimize scalable data pipelines and ETL processes.
• Integrate data from multiple sources using Informatica/IDMC or similar tools.
• Develop and maintain data solutions on Databricks using Python.
• Collaborate with analytics teams to deliver clean, structured data.
• Ensure data quality, security, and compliance with standards.
• Troubleshoot and resolve data-related issues.
• Document processes and maintain best practices.

Skills

Informatica/IDMC

Databricks/Python

Team Lead experience

Tableau/OAS

AWS Cloud

Job description

Open roles:

M-2025-1636 - Lead Data Engineer
M-2025-1637 - Senior Data Engineer
M-2025-1638 - Junior Data Engineer
M-2025-1639 - Junior Data Engineer

1 year renewable contract

Primary Skills

• Informatica/IDMC, Databricks/Python (Hands on strong knowledge in any combination of two)
• Team Lead experience

Secondary Skills

• Tableau/OAS, AWS Cloud

Preference

• AWS Architect / Databricks / IDMC certification

Key Responsibilities:

• Design, build, and optimize scalable data pipelines and ETL processes.
• Integrate data from multiple sources using Informatica/IDMC or similar tools.
• Develop and maintain data solutions on Databricks using Python for data processing and transformation.
• Collaborate with analytics teams to deliver clean, structured data for reporting and visualization.
• Ensure data quality, security, and compliance with organizational standards.
• Troubleshoot and resolve data-related issues in production environments.
• Document processes and maintain best practices for data engineering workflows.

Required Skills & Qualifications:

Primary Skills (Must-Have):

• Strong hands-on experience in Informatica/IDMC or Databricks with Python (expertise in at least one is mandatory).

Secondary Skills:

• Familiarity with Tableau or Oracle Analytics Server (OAS) for data visualization and reporting.

General Requirements:

• Solid understanding of data integration, ETL concepts, and data modeling.
• Strong problem-solving and analytical skills.
• Ability to work collaboratively in cross-functional teams.

Preferred / Nice-to-Have:

• AWS Cloud Practitioner certification.
• Databricks or IDMC Data Engineer certification.
• Experience working in cloud-based data environments.