Senior Software Engineer (AWS / Snowflake)

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 at one 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 internal and external raw data to produce analytics-ready datasets aligned to stakeholder needs.

• Design data pipelines that curate and load data into the in-house data warehouse.

• Build and support data marts that enable self-service consumption for business and IT teams

• Maintain warehouse housekeeping routines to keep data accurate, available and cost-effective.

• Develop prototypes and analytical tooling to improve BI and advanced analytics workflows.

• Improve data quality and reliability through validation, monitoring and root-cause fixes.

• Plan and execute migration activities from existing databases to the in-house data warehouse.

• Champion data engineering standards and practical best practices across the team.

What Will Make You Shine

• Proven experience building data pipelines and warehouse datasets for BI and analytics use cases.

• Hands-on experience with Amazon Web Services (AWS) services such as Amazon RDS and AWS Fargate.

• Strong knowledge of Snowflake, including performance and data modeling considerations.

• Working knowledge of extract, transform, load (ETL) patterns and data warehousing concepts.

• Proficiency in programming with Python and/or Java for data engineering workloads.

• Experience with ETL tooling such as AWS Glue.

• Knowledge of relational databases such as PostgreSQL and Microsoft SQL Server.

• Clear communication with the ability to align stakeholders on requirements and delivery.

Nice to Have

• Certification in AWS Data Engineer Specialty or AWS Solution Architect Associate

• Experience working in financial services or other regulated environments

• Familiarity with enterprise agile ways of working such as Scrum, Kanban or SAFe

How We Hire Here, we summarize the typical journey to finding a job within EPAM:

• Apply and tell us about yourself

• Go through some standard interviews:

• General interview with a recruiter

• Technical interview with our technology experts

• Manager interview or Offer interview with a hiring manager

• Get ready to join the team

Not sure if you meet all the requirements? No problem. Let’s talk anyway and find out more. It takes 1 min of application to start the journey with us. Apply now!