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Data Analytics Engineer with MS Stack Serbia or Remote

Data Analytics Engineer with MS Stack Description

Job #: 74661
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. No matter where you are located, you will join a dedicated, creative, and diverse community that will help you discover your fullest potential.

DESCRIPTION


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 Data Analytics Engineer with MS Stack or any level above.

Responsibilities

  • 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

Requirements

  • 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

  • Dynamic, entrepreneurial, high speed, high growth corporate environment
  • Diverse multicultural, multi-functional, and multilingual work environment
  • Opportunities for personal and career growth in a progressive industry
  • Global scope, international projects
  • Widespread training and development opportunities
  • Unlimited access to LinkedIn learning solutions
  • Competitive salary and various benefits
  • Sport and social teams support, recreation area, advanced CSR programs

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