Senior Software Engineer (AWS / Snowflake)

EPAM Systems; Singapore; On-site; SGD 120,000 - 180,000; Full time

Job summary

EPAM Systems in Singapore seeks a Senior Data Engineer to design and operate analytics-ready data pipelines and a scalable data warehouse. You will implement ETL patterns, optimize Snowflake schemas, and enable self-service BI for business and IT teams.

The role emphasizes collaboration with stakeholders, adherence to data engineering standards, and experience with AWS data services. Financial services exposure and agile practices are highly valued.

Qualifications

• Experience building data pipelines and analytics-ready datasets.
• Hands-on AWS services experience (RDS, Fargate).
• Strong Snowflake knowledge including data modeling.
• Proficiency in ETL patterns and data warehousing concepts.
• Programming with Python and/or Java for data engineering.
• Experience with ETL tooling such as AWS Glue.
• Knowledge of PostgreSQL and MS SQL Server."
• Clear communication with stakeholders and delivery focus.
• Nice to have AWS Data Engineer Specialty or AWS Solution Architect Associate.
• Experience in financial services or other regulated environments.
• Familiarity with enterprise agile ways of working such as Scrum, Kanban or SAFe.

Responsibilities

• Analyze internal and external raw data to produce analytics-ready datasets.
• Design data pipelines that curate and load data into the in-house data warehouse.
• Build and support data marts enabling self-service analytics for business and IT teams.
• Maintain warehouse housekeeping to keep data accurate, available, and cost-effective.
• Develop prototypes and tooling to improve BI and analytics workflows.
• Improve data quality via validation, monitoring, and root-cause fixes.
• Plan migrations from existing databases to the in-house data warehouse.
• Champion data engineering standards and best practices across the team.

Skills

Data pipeline design

Data warehouse design

Stakeholder communication

Agile / SAFe / Scrum / Kanban

Python / Java

Tools

AWS (RDS, Fargate)

Snowflake

Python

Java

AWS Glue

PostgreSQL

MS SQL Server

Job description

We are seeking a Senior Data Engineer (AWS/ Snowflake) in Singapore.

Responsibilities

• 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

Requirements

• 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