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Data Engineer


HORIZON MANPOWER SERVICES PTE. LTD.
12 days ago
Posted date
12 days ago
N/A
Minimum level
N/A
ITJob category
IT
Key Responsibilities

Data Architecture & Pipeline Development

  • Design, develop, and maintain scalable, reliable, and high-performance data pipelines.
  • Build and optimize ETL/ELT workflows to ingest data from structured and unstructured sources.
  • Implement batch and real-time data processing solutions.

Data Platform & Infrastructure

  • Develop and manage data warehouses, data lakes, and lakehouse architectures.
  • Optimize data storage, partitioning, indexing, and query performance.
  • Ensure high availability, fault tolerance, and scalability of data systems.

Data Quality, Security & Governance

  • Implement data validation, monitoring, and reconciliation frameworks.
  • Enforce data governance, security, and compliance standards.
  • Manage access controls and data lineage documentation.

Collaboration & Stakeholder Support

  • Work closely with Data Scientists, Data Analysts, BI teams, and Product teams.
  • Translate business requirements into technical data solutions.
  • Support analytics, reporting, and machine learning use cases with reliable datasets.

Automation & Optimization

  • Automate data workflows using scheduling and orchestration tools.
  • Continuously improve performance, cost efficiency, and system reliability.
  • Identify and resolve data pipeline failures and bottlenecks proactively.

Required Skills & Qualifications

Education

  • Bachelor's degree in Computer Science, Engineering, Information Systems, Mathematics, or a related field.

Experience

  • 6+ years of professional experience as a Data Engineer or in a similar role.
  • Proven experience working with large-scale data systems and complex datasets.

Technical Skills

  • Strong programming skills in Python, SQL, and at least one of Java / Scala.
  • Expertise in relational and NoSQL databases.
  • Hands-on experience with data warehousing and data lake solutions.
  • Strong understanding of data modeling, schema design, and performance tuning.
  • Experience with data orchestration and workflow scheduling tools.
  • Knowledge of cloud platforms (AWS, Azure, or GCP) and cloud-native data services.
  • Familiarity with CI/CD practices for data engineering
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JOB SUMMARY
Data Engineer
HORIZON MANPOWER SERVICES PTE. LTD.
Singapore
12 days ago
N/A
Contract / Freelance / Self-employed

Data Engineer