Senior Data Engineer

Summary

Design, develop, and maintain scalable data pipelines and ETL/ELT solutions across cloud-based data warehouses, collaborating with analytics and engineering teams to turn complex data into insights. Core stack includes SQL, Python, AWS/GCP/Azure, with experience in Spark, Airflow, dbt, and Kafka.

We are currently seeking a Senior Data Engineer to join our dynamic team. In this role, you will be responsible for designing, developing, and maintaining reliable and scalable data solutions across the data ecosystem. You will work with diverse data sources, modern cloud technologies, and analytical platforms, collaborating closely with engineering, analytics, and business teams to turn complex data into valuable insights and products.

Responsibilities

  • Design, develop, and maintain scalable and reliable data pipelines and data processing solutions
  • Build and optimize ETL/ELT processes for structured and unstructured data
  • Work with relational and cloud-based data warehouses and storage solutions
  • Develop efficient SQL queries and optimize data models, pipelines, and data processing workflows
  • Integrate data from various internal and external sources and ensure data consistency and quality
  • Contribute to the design and evolution of data architectures and engineering best practices
  • Monitor, troubleshoot, and optimize data pipelines and related infrastructure
  • Collaborate with Data Analysts, Data Scientists, Software Engineers, and other stakeholders to deliver data-driven solutions
  • Participate in technical discussions, architecture decisions, code reviews, and continuous improvement initiatives
  • Ensure data solutions are scalable, maintainable, secure, and reliable
  • Provide technical guidance and mentorship to less experienced team members

Requirements

  • 5+ years of professional experience in Data Engineering, Software Engineering, or a related technical field
  • Strong proficiency in SQL and solid understanding of relational databases and data modeling
  • Hands-on experience with building and maintaining data pipelines and ETL/ELT processes
  • Experience with at least one cloud platform, such as AWS, GCP, or Azure
  • Experience with modern data warehouses, data lakes, or cloud storage solutions
  • Good understanding of data engineering concepts, distributed data processing, and data architecture
  • Experience with Python or another programming language commonly used for data engineering
  • Strong problem-solving and analytical skills, with the ability to work with complex data-related challenges
  • Ability to work effectively in a cross-functional and international team
  • Good understanding of software engineering practices, including version control, testing, code review, and CI/CD
  • Fluency in English at an Upper-Intermediate level

Nice to have

  • Experience with Apache Spark, Databricks, Airflow, dbt, Kafka, or similar data technologies
  • Experience with AWS, GCP, or Azure data services
  • Knowledge of BI and data visualization tools such as Power BI, Tableau, Looker, or similar
  • Experience with MicroStrategy or other enterprise BI platforms
  • Experience with infrastructure-as-code and containerization technologies
  • Understanding of data governance, data quality, security, and observability practices
  • Experience working with large-scale or real-time data processing

Benefits

With us you can:

  • Work on a flexible schedule remotely or from any of our comfortable offices or coworking spaces in Ukraine
  • Receive the necessary equipment to perform your work tasks
  • Change projects and technology stacks within EPAM
  • Gain experience in various business domains (Insurance, E-commerce, Healthcare, Finance, Travelling, Media, Artificial Intelligence, and more)
  • Relocation opportunities may be available for eligible candidates, depending on the role and openings at other EPAM locations
  • Participate in volunteer, charity programs and communities (both technical and interest-based)

We focus on your professional growth:

  • You can plan your individual career path together with your manager
  • Receive regular feedback from colleagues
  • Improve your English for free with certified teachers (Speaking Clubs, client interview preparation courses, etc.)
  • Get the opportunity to undergo free training and certification in AWS, GCP, or Azure Clouds
  • Use the internal E-learn training program (18,200+ specialized training and mentoring programs)
  • Access corporate accounts on LinkedIn Learning, Get Abstract and other partner resources
  • Study at EPAM Solution Architecture School with the instructors who are practicing architects
  • Develop as a leader, join Delivery Management, Resource Management, Leadership Essentials school and more
  • Participate in internal communities (500+ meetups, technical discussions, brainstorming sessions, online events and conferences annually)

What we offer:

  • Vacation and sick leave (including a sick leave without a medical certificate)
  • A wide range of Voluntary Medical Insurance programs providing both medical treatment and various preventive options (including sports activities)
  • Medical insurance for family members at corporate rates
  • Company support during significant life events (childbirth or adoption, marriage, etc.)
  • Support for psychological comfort: discounts on services from mental health specialists or coaches, thematic training
  • E-kids program - a free programming language training program for EPAMers' children

See also

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