Data Analytics Engineer with MS Stack Serbia or Remote
Data Analytics Engineer with MS Stack Description
Job #: 74661DESCRIPTION
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