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Senior Data Analytics Engineer with MS Stack Lithuania or Remote

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Senior Data Analytics Engineer with MS Stack Description

Job #: 74105
EPAM is a leading global provider of digital platform engineering and development services. We are committed to having a positive impact on 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 continuously learn and grow.

You are curious, persistent, logical, and with a growth mindset – a true techie at heart. You enjoy living by the code of your craft and developing elegant solutions for complex problems. You love building data systems and applications to support decision-making. If this sounds like you, this could be the perfect opportunity to join EPAM as a Senior Data Analytics Engineer with MS Stack or any level above.

What You’ll Do

  • Develop scripts and conduct performance tuning and database design, dimensional analysis, and modelling
  • Work with internal and external data providers and subject matter experts to understand data sources and formats
  • Advocate for additional data sets and elements to improve delivered data products
  • Recommend ways to improve data reliability, efficiency, and quality
  • Identify and participate in process improvement initiatives that improve the customer experience, enhance workflow, and/or improve the work environment
  • Create custom SQL to query complex data models in the most effective way for the database and the application servers
  • Analyze data requirements, application and processing architectures, data dictionaries

What You Have

  • 3+ years experience with DW.MS SQL Server
  • Expertise in DBMS, e.g., Microsoft SQL Server or MySQL
  • Knowledge of Structured Query Language (SQL), T-SQL
  • Experience with Data Warehousing and ETL and Analytics Tools, e.g., MS tools (SSIS, SSAS, SSRS)
  • Knowledge of Data Analytics tools, e.g., PowerBI
  • Experience with Agile would be a plus
  • Upper-Intermediate or higher English level, both spoken and written (B2+)

We offer

  • Innovative solutions delivery to the world’s digital changes
  • Experience exchange with colleagues all around the world
  • Opportunities for self-realization
  • Unlimited access to LinkedIn learning solutions
  • Friendly team and enjoyable working environment
  • Corporate and social events
  • Social package: professional & soft skills trainings, medical & family care programs, sports
  • Free English classes
  • Competitive compensation
  • Regular assessments and salary reviews

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