Senior Python Data Engineer-Big Data Pipelines, On-site

EPAM Systems, Inc.

Wrocław

Hybrid

PLN 180,000 - 320,000

Full time

14 days+
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Job summary

EPAM Systems, Inc. in Poland is seeking a hands-on Senior Python Data Engineer to join the Regulatory Reporting team in Wroclaw. The role focuses on building data-driven applications and scalable data pipelines to support regulatory and data clients.

You will design data models, collaborate across the SDLC, and work with product owners and technologists. 5+ years in data engineering with Databricks, Python, Spark and cloud experience is expected.

Qualifications

  • Bachelor's degree in Computer Science or equivalent in IT field.
  • 5+ years of experience in a similar data engineering role.
  • Hands-on in building scalable data pipelines for batch and streaming data.

Responsibilities

  • Design, implement and maintain data-driven applications.
  • Develop and deliver end-to-end data solutions.
  • Engineer reliable data pipelines for sourcing, processing, distributing and storing data.
  • Design data models to support growing data volumes.
  • Contribute to all stages of the software development lifecycle.
  • Provide technical expertise and innovative solutions.
  • Collaborate with product owner and other technologists.
  • Share expertise and best practices with the team.

Skills

Databricks
Python
Spark
Big Data
Data pipelines
SQL
PostgreSQL
Azure
Unix/Linux
Shell scripting
CI/CD
GitLab
Delta Lake
DLT
AI in SDLC
English (B2)

Education

Bachelor's degree in Computer Science or equivalent in IT

Tools

Azure SQL
PostgreSQL
SQL databases

Job description

EPAM Systems, Inc. in Poland is seeking a hands-on Senior Python Data Engineer to join the Regulatory Reporting team in Wroclaw. The role focuses on building data-driven applications and scalable data pipelines to support regulatory and data clients.

You will design data models, collaborate across the SDLC, and work with product owners and technologists. 5+ years in data engineering with Databricks, Python, Spark and cloud experience is expected.

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