Data Engineer (Junior to Lead roles available)
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Summary
NTT Data Asia Pacific is hiring Data Engineers (Junior, Senior, and Lead) in Singapore on a 1-year renewable contract. The role focuses on designing and optimizing ETL/data pipelines using Informatica/IDMC and Databricks with Python, plus AWS Cloud and Tableau/OAS for visualization and reporting.
Open roles:
Lead Data Engineer
Senior Data Engineer
Junior Data Engineer
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.
Lead Data Engineer
Senior Data Engineer
Junior Data Engineer
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.