Senior/Data Engineer

Zenith Infotech • Python • Java • SQL • Scala • ETL/ELT • 6 days ago
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Salary
$47k – $75k per year (gross)
Location
In office (Singapore)
Seniority
Senior · 5+ years exp
Employment
Full-Time

First seen by Alion on Oct 16, 2026.

Overview
Company
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Profile match

Zenith Infotech

Zenith Infotech is an IT staffing and manpower outsourcing firm in Singapore that supplies contract and permanent technology professionals to IT companies, consulting firms, system integrators, government agencies and multinationals. Founded in 1997, it offers contract hiring, permanent placement, staff augmentation, project outsourcing and recruitment process outsourcing, with experience across Singapore, Malaysia and Australia. Its openings are mostly contract roles for client projects, including data engineers and architects, Java system analysts, software developers, application support and test automation engineers, database administrators and Workday specialists.
zenithinfotech.com.sg • HQ: Singapore • IT Staffing & Staff Augmentation • Est. 1997

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.

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.

• This role will need to secure a clearance, due to the sensitivity of the project.

To apply:

Please send your latest CV in MS Word format to [email protected]

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

EA Licence No: 20S0237

Skills

Complex Data Sources, Microsoft Azure, Role Modelling, Computer Engineering, ETL Tools, Data Warehouse Systems, Data Processing, Data Governance, Data Lake, Analytical and Problem-Solving Skills, Availability Management, Relational Databases, Data Infrastructure, Programming, Data Warehousing, Data Analysis Tools

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