Data Engineer — Build Scalable Data Pipelines & Platforms

EPAM SYSTEMS PTE. LTD.

Singapore

On-site

SGD 100,000 - 140,000

Full time

8 days ago

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Job summary

EPAM SYSTEMS PTE. LTD. in Singapore is seeking a data engineer to design and deliver tables, views and data pipelines across data warehouse, data lake and operational stores.

You will build batch and real-time pipelines, develop ETL/ELT workflows, and integrate data from multiple systems while ensuring scalable, secure data access and API-backed services. Strong SQL and Python skills plus cloud experience are essential.

Qualifications

  • Experience building production-grade data pipelines and data integrations.
  • Strong SQL for transformation and performance tuning.
  • Proficiency in Python for data processing and automation.

Responsibilities

  • Design and deliver data tables, views and marts across data warehouse, data lake and data stores.
  • Build and maintain batch and real-time data pipelines using modern data processing frameworks.
  • Develop ETL and ELT workflows including extraction, cleansing, transformation and orchestration.
  • Integrate data from multiple systems in a scalable, compliant way.
  • Build and maintain back-end APIs and database services supporting applications.
  • Collaborate with project and product teams to deliver data-driven features end-to-end.
  • Improve quality through automated testing, code reviews and pair programming.
  • Contribute in Agile teams with CI/CD practices.

Skills

SQL
Python
Data modeling
ETL/ELT
AWS
Azure
GCP
Apache Spark
Apache Kafka
Hadoop
REST APIs
Security best practices

Tools

Apache Spark
Apache Kafka
Hadoop
REST APIs
Python libraries
ETL tooling

Job description

EPAM SYSTEMS PTE. LTD. in Singapore is seeking a data engineer to design and deliver tables, views and data pipelines across data warehouse, data lake and operational stores.

You will build batch and real-time pipelines, develop ETL/ELT workflows, and integrate data from multiple systems while ensuring scalable, secure data access and API-backed services. Strong SQL and Python skills plus cloud experience are essential.

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