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Data Engineer (Data Competency Center)

Europe Europe (remote) Remote (Ukraine) Ukraine Data Engineering Engineering Python
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Required skills

Python / expert
SQL / expert
Databricks / expert
AWS / good
Azure / good

Are you a Data Engineer passionate about turning complex datasets into actionable insights? We at Sigma Software are looking for a skilled professional to join our Data Competency Center and work on diverse, challenging projects across industries.

You will collaborate with talented engineers, contribute to cutting-edge data solutions, and help shape best practices in data engineering.

Why join us? At Sigma Software, you’ll enjoy professional growth opportunities, access to the latest technologies, a supportive team culture, and benefits designed to help you thrive.

Project

Our Data Competency Center focuses on delivering advanced data solutions for diverse industries, leveraging cloud technologies, big data platforms, and analytics tools. We work on projects involving large-scale data processing, data lakes, and real-time streaming, helping clients transform raw data into actionable insights.

Requirements

  • 3+ years of experience in data engineering
  • Hands-on experience with cloud computing services in data and analytics (AWS and/or Azure)
  • Experience with data modeling, reporting tools, data governance, and data warehousing
  • Proficiency in Python and PySpark for large-scale, distributed data processing
  • Advanced SQL skills and knowledge of big data databases (Snowflake, Redshift, etc.)
  • Strong knowledge of Databricks for big data analysis, transformations, and orchestration
  • Understanding of streaming approaches (Kafka, Spark Structured Streaming)
  • Familiarity with CI/CD and DevOps processes
  • Upper-Intermediate+ English

Personal Profile

PERSONAL PROFILE:

  • Passion for data processing and continuous learning
  • Strong problem-solving skills and analytical thinking
  • Ability to mentor and guide team members
  • Effective communication and collaboration skills

Responsibilities

  • Collaborate with clients and internal teams to clarify technical requirements and expectations
  • Implement architectures using Azure or AWS cloud platforms
  • Design, develop, optimize, and maintain squad-specific data architectures and pipelines
  • Discover, analyze, and organize disparate data sources into clean, understandable data models
  • Evaluate new tools for analytical data engineering or data science
  • Suggest and contribute to training and improvement plans for analytical data engineering skills, standards, and processes
Meet your team!

WHY US

  • Diversity of Domains & Businesses
  • Variety of technology
  • Health & Legal support
  • Active professional community
  • Continuous education and growing
  • Flexible schedule
  • Remote work
  • Outstanding offices (if you choose it)
  • Sports and community activities

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