Senior Data Engineer - Python + AWS | Medallion Data, Hybrid

EPAM Systems; Town of Poland (NY); Hybrid; USD 32,000 - 48,000; Full time

Benefits offered by this job

Hybrid work model

Remote within Poland

Relocation opportunities

Certification programs

English classes

Employee stock purchase plan

Job summary

EPAM Systems is seeking a Senior Data Engineer (Python, AWS) to support the design, development, and enhancement of our client's enterprise data platform. You will be hands-on building data pipelines, integrating data from operational databases, and working with modern cloud data warehouses.

Responsibilities include creating Python-based ETL/ELT workflows, designing scalable data pipelines and models, implementing Medallion Architecture (Bronze-Silver-Gold), and collaborating with developers,

Qualifications

• 3+ years of hands-on data engineering experience.
• Strong Python programming skills with ETL/ELT experience.
• Solid SQL skills including query optimization and data modeling.
• Hands-on experience with AWS cloud services.
• Experience integrating data from OLTP databases (PostgreSQL, SQL Server).
• Experience implementing Medallion Architecture (Bronze, Silver, Gold).
• Excellent communication and collaboration skills.

Responsibilities

• Build and maintain Python-based ETL/ELT workflows for data ingestion, transformation, and validation
• Design and develop data pipelines
• Develop scalable and performant data models
• Implement and maintain Medallion Architecture (Bronze, Silver, Gold) data models to support analytics and downstream applications
• Collaborate with application developers, business users, and data consumers to understand data requirements

Skills

Python

SQL

Communication

Tools

AWS

PostgreSQL

SQL Server

dbt

Airflow

Dagster

Prefect

CI/CD

Job description

EPAM Systems is seeking a Senior Data Engineer (Python, AWS) to support the design, development, and enhancement of our client's enterprise data platform. You will be hands-on building data pipelines, integrating data from operational databases, and working with modern cloud data warehouses.

Responsibilities include creating Python-based ETL/ELT workflows, designing scalable data pipelines and models, implementing Medallion Architecture (Bronze-Silver-Gold), and collaborating with developers,