Senior Data Engineer: AI-Driven Data Pipelines & Analytics

EPAM Systems; Singapore; On-site; SGD 120,000 - 170,000; Full time

Benefits offered by this job

Great workplace

Upskilling & certification programs

Online courses and libraries

Mentoring programs

Job summary

EPAM Systems Singapore is seeking a Data Engineer to design, build and optimize data pipelines, models and reporting solutions powering analytics across enterprise systems. You will work with SQL, Python, Spark and ETL tools, improve data collection and consumption, support deployments and production issues while leveraging automation to boost delivery efficiency and maintain reliable operations.

Join a global engineering community and contribute to cutting-edge data projects in a collaborative

Qualifications

• Nine+ years delivering data engineering solutions in enterprise environments.
• Strong SQL with data modeling and analysis.
• Hands-on Python for data workflows.
• Experience building big data pipelines using PySpark, Linux and enterprise ETL tools (e.g., Informatica).
• Experience with Cloudera Data Platform including Hive and Impala in production environments.
• Experience delivering reports and dashboards using Tableau or SAP BusinessObjects.
• Understanding analytics and data warehouse implementations including operational support needs.
• Ability to troubleshoot complex issues from system resources to application stack traces.
• Working knowledge of Agile or Waterfall delivery with clear documentation practices.

Responsibilities

• Analyze data needs, document requirements and translate them into technical solutions.
• Design, build and optimize data pipelines and data models for analytics and reporting.
• Migrate and streamline data collection and consumption through more efficient channels.
• Develop dashboards and reports aligned to user needs and governance standards.
• Create test plans and scripts, support system testing and user acceptance testing.
• Partner with technical teams to deploy solutions, support adoption and ensure stable operations.
• Troubleshoot production issues across data pipelines, platform resources and application logs.
• Use AI coding tools and automation to improve build, test, deployment and code quality.

Skills

SQL

Python

PySpark

Linux

Data modeling

Agile/Waterfall

Big data analytics

Tools

Informatica

Cloudera Data Platform

Hive

Impala

Tableau

SAP BusinessObjects

Denodo

GitHub Copilot

Job description

EPAM Systems Singapore is seeking a Data Engineer to design, build and optimize data pipelines, models and reporting solutions powering analytics across enterprise systems. You will work with SQL, Python, Spark and ETL tools, improve data collection and consumption, support deployments and production issues while leveraging automation to boost delivery efficiency and maintain reliable operations.

Join a global engineering community and contribute to cutting-edge data projects in a collaborative