Senior Data Engineer: AWS & Snowflake Pipelines

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

Benefits offered by this job

Online courses

Mentoring programs

Certification support

Global collaboration

Job summary

EPAM Singapore is seeking a Senior Data Engineer (AWS/Snowflake) to design and build reliable data pipelines and curate raw data into our in-house data warehouse for trusted datasets used in BI and advanced analytics.

You will drive data quality improvements, support platform migrations in a regulated environment, and collaborate with business and IT teams to align requirements and delivery while adopting our engineering standards.

Qualifications

• Proven experience building data pipelines and warehouse datasets for BI and analytics.
• Hands-on AWS (RDS, Fargate) and Snowflake proficiency.
• Strong ETL, data modeling and Python/Java for data engineering.

Responsibilities

• Analyze raw data to create analytics-ready datasets.
• Design pipelines into the data warehouse.
• Build data marts for self-service BI.
• Maintain warehouse housekeeping for accuracy and cost.
• Improve data quality via monitoring and fixes.
• Plan migrations to the in-house data warehouse.
• Promote data engineering standards across the team.

Skills

Data pipelines

Python/Java

Snowflake

AWS services

ETL patterns

Tools

AWS Glue

PostgreSQL

MS SQL Server

Job description

EPAM Singapore is seeking a Senior Data Engineer (AWS/Snowflake) to design and build reliable data pipelines and curate raw data into our in-house data warehouse for trusted datasets used in BI and advanced analytics.

You will drive data quality improvements, support platform migrations in a regulated environment, and collaborate with business and IT teams to align requirements and delivery while adopting our engineering standards.