Data Engineer (Junior) - Cloud Pipelines & Analytics

sggovterp

Singapore

On-site

SGD 60,000 - 90,000

Full time

8 days ago

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Job summary

sggovterp is seeking a Data Engineer to support the design, development, and maintenance of reliable data platforms and analytics-ready datasets in a cloud environment. The role targets junior to mid-level candidates eager to build practical data engineering capabilities using Microsoft Fabric and Azure data services.

You will collaborate with stakeholders to translate data needs into technical tasks, design pipelines, and ensure data quality across layers while adhering to government ICT

Qualifications

  • Bachelor-level or higher in CS, IS, Data Eng, Data Analytics, or related discipline.
  • Solid understanding of SQL and data modelling concepts.
  • Experience with ETL/ELT, data pipelines, data warehousing or lakehouse architectures.

Responsibilities

  • Collaborate with stakeholders to understand business requirements and data issues.
  • Design, build, and maintain data pipelines and datasets for reporting and analytics.
  • Manage data across layers from raw to cleansed, business-ready datasets.
  • Ensure data quality through validation, lineage tracking, and access management.
  • Monitor pipeline performance and document remediation actions for reliable data delivery.
  • Support cloud-based data solutions while complying with security and governance requirements.
  • Contribute to enterprise data capability-building for reporting, analytics, and AI-enabled use cases.

Skills

SQL
Data modelling
ETL/ELT concepts
Python/PySpark
Analytical skills
Communication

Education

Relevant degree in CS/IS/Data Eng/Data Analytics/Software Eng

Tools

Azure Data Factory
Azure Databricks
Microsoft Fabric
OneLake/Power BI integration

Job description

sggovterp is seeking a Data Engineer to support the design, development, and maintenance of reliable data platforms and analytics-ready datasets in a cloud environment. The role targets junior to mid-level candidates eager to build practical data engineering capabilities using Microsoft Fabric and Azure data services.

You will collaborate with stakeholders to translate data needs into technical tasks, design pipelines, and ensure data quality across layers while adhering to government ICT

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