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Senior Big Data Engineer Lviv, Ukraine

Senior Big Data Engineer Description

Job #: 50048
Striving for excellence is in our DNA. Since 1993, we have been helping the world’s leading companies imagine, design, engineer, and deliver software and digital experiences that change the world. We are more than just specialists, we are experts.

EPAM is committed to providing our global team of 36,700+ EPAMers with inspiring careers from day one. EPAMers lead with passion and honesty and think creatively. Our people are the source of our success and we value collaboration, try to always understand our customers’ business, and strive for the highest standards of excellence. In today’s new market conditions, we continue to support operations for hundreds of clients around the world remotely, with the vast majority of our teams working from home. No matter where you are located, you’ll join a dedicated, diverse community that will help you discover your fullest potential.


Our Customer is an American multinational manufacturer and marketer of prestige skincare, makeup, fragrance and hair care products, based in Midtown Manhattan, New York City. The company owns a diverse portfolio of brands, distributed internationally through both digital commerce and retail channels.

We are looking for a Senior Big Data developer, who has strong experience in implementing data pipelines (both real-time and batch) using Spark.

The team is building a customer data platform in Azure for a multinational manufacturer of prestige beauty products.
• One repository for all consumer data in Europe to enable business capabilities;
• Seamless experience by aligning online and offline consumer & associated master data in Europe to support business capabilities;
• Generate Consumer Best record;
• Integration with Google Cloud platform;
• Integration with cloud based CRM platform to enable targeted marketing campaigns;
• Integration with third-party systems.


  • Good knowledge of Scala
  • Experience in SQL
  • Understanding of data platform concepts in Cloud environments
  • Experience in building data processing pipelines
  • Hands on Spark
  • MS Azure Cloud – nice to have

We offer

  • Competitive compensation depending on experience and skills
  • Individual career path in engineering
  • Social package - medical insurance, sports
  • Sick leave and regular vacation
  • Unlimited access to Linkedin learning solutions
  • English classes with certified English teachers
  • Flexible work schedule
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