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Lead Data Engineer Kyiv, Ukraine or Remote

Lead Data Engineer Description

Job #: 82760
EPAM is a leading global provider of digital platform engineering and development services. We are committed to positively impacting our customers, our employees, and our communities. We embrace a dynamic and inclusive culture. Here you will collaborate with multi-national teams, contribute to a myriad of innovative projects that deliver the most creative and cutting-edge solutions, and have an opportunity to learn and grow continuously. You will join a dedicated, creative, and diverse community that will help you discover your fullest potential.

EPAM is committed to providing our global team of 61,600+ EPAMers with inspiring careers. EPAMers lead with passion and honesty and think creatively. Our people are the source of our success, and we value collaboration, try always to understand our customers' business, and strive for the highest standards of excellence.


Our client's project is set to design Data Architecture for enabling digital transformation and modernizing the technology stack in order to collect, connect and manage data, leverage modern APIs and implement advanced analytics tools to generate strategic insights.


  • Build enterprise grade data platform
  • Establish data governance, data quality
  • Implement reusable DataBricks components for data ingestion and data analytics
  • Ingest (via batch, streaming, replication) data into data lake and make data available for reporting and predictive modeling
  • Establish, security controls, integration with data governance and clear auditable data lineage
  • Build collaborative partnerships with architects, technical leads and key individuals within other functional groups
  • Actively participate in code review and test solutions to ensure it meets best practice specifications
  • Write project documentation


  • Coding experience with Python
  • Experience building data ingestion pipelines, Data Warehouse or Database architecture
  • Experience with data modeling; hands-on development experience with modern Big Data components
  • Cloud: experience in designing, deploying and administering scalable, available and fault tolerant systems
  • Data-oriented personality and possessing compliance awareness, such as PI, GDPR, HIPAA
  • Upper-Intermediate level of English, both spoken and written (B2+)

We offer

  • Competitive compensation depending on experience and skills
  • Individual career path
  • Unlimited access to LinkedIn learning solutions
  • Sick leave and regular vacation
  • English classes with certified English teachers
  • Flexible work hours

A day in the life

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