Senior Data Engineer - AWS & Snowflake Pipelines

EPAM Systems

Singapore

Sur place

SGD 120 000 - 180 000

Plein temps

14 jours+

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Résumé du poste

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.

Responsabilités

  • 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.

Connaissances

Data pipeline design
Data warehouse design
Stakeholder communication
Agile / SAFe / Scrum / Kanban
Python / Java

Outils

AWS (RDS, Fargate)
Snowflake
Python
Java
AWS Glue
PostgreSQL
MS SQL Server

Description du poste

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.

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