Data Analytics Engineer with MS Stack

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.