Role:
- Design, develop, and maintain scalable data pipelines and ETL/ELT processes.
- Manage data ingestion from multiple structured and unstructured sources.
- Build and maintain data warehouse / data lake infrastructure.
- Ensure data quality, integrity, and availability across systems.
- Optimize data processing jobs for performance and reliability.
- Collaborate with data analysts, data scientists, and application teams.
- Implement data security, access control, and data governance practices.
- Monitor, troubleshoot, and resolve data pipeline issues.
- Maintain documentation for data architectures, pipelines, and processes.
- Support operational and maintenance activities.
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This role will need to secure a clearance, due to the sensitivity of the project.
Requirements:
- Degree in Computer Science, Information Technology, Data Engineering, or related field.
- Experience in data engineering or related data roles.
- Proficient in SQL and programming languages such as Python, Java, or Scala.
- Experience with ETL tools and data pipeline frameworks.
- Experience with relational databases and big data technologies (e.g., Hadoop, Spark).
- Familiarity with cloud platforms (e.g., AWS, Azure, GCP)Knowledge of data warehousing concepts and data modelling.
- Strong problem-solving and analytical skills.
- Good communication and teamwork skills.
To apply:
Please send your latest CV in MS Word format to
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Appreciate the interest of all applicants; however only shortlisted candidates will be notified.
EA Licence No: 20S0237
Zenith Infotech (S) Pte Ltd. was started in 1997, primarily with the vision of offering state-of-the-art IT Professionals and solutions to various organizations and thereby helping them increase their productivity and competitiveness. From deployment of one person to formation of whole IT teams, Zenith Infotech has helped clients with their staff augmentation needs. Zenith offers opportunity to be engaged in long term projects with large IT savvy companies, Consulting organizations, System Integrators, Government, and MNCs.