Lead/Senior Data Engineer

zenith infotech (s) pte ltd.; Singapore; On-site; SGD 90,000 - 150,000; Full time

Job summary

zenith infotech (s) pte ltd. is seeking a data engineer to design and lead a data warehouse/lake/store, build scalable ETL pipelines, and manage data ingestion from diverse sources.

You will ensure data quality, security, and governance while collaborating with analysts, data scientists, and application teams. A clearance is required for this sensitive project.

Qualifications

• Degree in Computer Science, IT, Data Engineering, or related field.
• Experience in data engineering or related roles.
• Proficient in SQL and Python/Java/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 (AWS, Azure, GCP) and data warehousing concepts.

Responsibilities

• 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.

Skills

SQL

Python/Java/Scala

Data pipelines

Data governance

Cloud platforms

Data modeling

Problem solving

Teamwork

Education

B.S. in Computer Science

Tools

ETL tools

Airflow

Hadoop/Spark

AWS

Azure

GCP

Job description

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.

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

EA Licence No: 20S0237