Lead/Senior Data Engineer

Role:

• Design, lead and implement a data warehouse/lake/store.
• 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.
• 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 jennifer@zenithinfotech.com.sg

Appreciate the interest of all applicants; however only shortlisted candidates will be notified.

EA Licence No: 20S0237