Senior Data Engineer: Build Scalable Pipelines & Analytics

EPAM; Singapore; On-site; SGD 110,000 - 170,000; Full time

Benefits offered by this job

Great Place to Work Certification 2023

Upskilling and certification programs

Mentoring programs and global exposure

Job summary

EPAM is seeking a Data Engineer to design, build and optimize data pipelines, models and reporting solutions powering enterprise analytics. You will work with SQL, Python, Spark and ETL tools to improve data collection and consumption, support deployments and production issues, and leverage AI-assisted development to boost delivery efficiency.

The role involves analyzing data needs, building pipelines, migrating data flows, and developing dashboards with governance standards.

Qualifications

• Senior-level data engineering experience, 9+ years in enterprise environments.
• Strong SQL skills with data modeling and data analysis.
• Hands-on Python for data workflows.
• Experience building big data pipelines with PySpark, Linux, and enterprise ETL tools such as Informatica.
• Experience with Cloudera Data Platform including Hive and Impala in production.
• Experience delivering dashboards with Tableau or SAP BusinessObjects.
• Familiar with analytics and data warehouse implementations and operational support.
• Ability to troubleshoot complex issues and document clearly.
• Familiar with Agile or Waterfall delivery and 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

Data modeling

Data analysis

ETL design

Tools

Informatica

Tableau

SAP BusinessObjects

Cloudera Data Platform

Hive

Impala

Job description

EPAM is seeking a Data Engineer to design, build and optimize data pipelines, models and reporting solutions powering enterprise analytics. You will work with SQL, Python, Spark and ETL tools to improve data collection and consumption, support deployments and production issues, and leverage AI-assisted development to boost delivery efficiency.

The role involves analyzing data needs, building pipelines, migrating data flows, and developing dashboards with governance standards.