Senior Data Engineer (Reporting and Analytics Developer)

epam systems pte. ltd.; Singapore; On-site; SGD 120,000 - 180,000; Full time

Job summary

EPAM Systems Pte. Ltd. is a leading global provider of digital platform engineering and development services, with Singapore-specific growth since 2013.

This role focuses on designing and delivering scalable data platforms, pipelines, and analytics to empower business insights. You will work with cutting-edge technologies, build robust data models, and collaborate across teams to ensure governance and data quality while advancing your career through continuous upskilling and certifications at

Qualifications

• Relevant senior-level experience, ideally 9 years or more delivering data engineering solutions in enterprise environments.
• Strong SQL with proven ability in data modeling and data analysis
• Hands-on experience with Python including scripting 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 tools such as Tableau or SAP BusinessObjects
• Understanding of 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

ETL tools

Data modeling

Data analytics

Agile/Waterfall

Tools

Informatica

Cloudera Data Platform

Hive

Impala

Tableau

SAP BusinessObjects

GitHub Copilot

Denodo

DevOps

Job description

About EPAM

EPAM is a leading global provider of digital platform engineering and development services. EPAM has been expanding in Singapore since 2013 and delivering the best solutions to our customers. As a recognized leader, EPAM Singapore achieved Great Place to Work® Certification in 2023 and is committed to providing our team with inspiring careers.

You will have the opportunity to work with fellow talented technologists and accelerate your career by participating in our numerous upskilling, training, and certification programs. That is why EPAM Singapore was awarded Gold for Best In-House Certification Programmes in the Employee Experience Awards 2023 and Silver in the SkillsFuture Employers Awards 2022 for our efforts in championing employees' skills development and building a lifelong learning culture at the workplace. You can also look forward to developing holistically with the multiracial festivals and various wellness and cultural activities organized by our passionate colleagues here.

Why EPAM?

• By choosing EPAM, you're getting a job atone of the most loved workplaces according to Newsweek 2022 & 2023.
• Employee ideas are the main driver of our business. We have a very supportive environment where your voice matters.
• You will be challenged while working side-by-side with the best talent globally. We work with top-notch technologies, constantly seeking new industry trends and best practices.
• We offer a transparent career path and an individual roadmap to engineer your future & accelerate your journey.
• At EPAM, you can find vast opportunities for self-development: online courses and libraries, mentoring programs, partial grants of certification, and experience exchange with colleagues around the world. You will learn, contribute, and grow with us.

What You’ll Do

• 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

What Will Make You Shine

• Relevant senior-level experience, ideally 9 years or more delivering data engineering solutions in enterprise environments
• Strong SQL with proven ability in data modeling and data analysis
• Hands-on experience with Python including scripting 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 tools such as Tableau or SAP BusinessObjects
• Understanding of 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

Nice to Have

• Experience with data virtualization tools such as Denodo
• Experience with DevOps practices for deployment automation and release management
• Hands-on experience using AI engineering tools (e.g., GitHub Copilot) for reviews, refactoring and documentation