Power Bi Developer

Summary

Join EPAM's Data & Analytics Practice and work on enterprise-scale analytics solutions for global clients using modern cloud technologies.

• 3+ years of experience in Data Analytics, BI, or Data Engineering.
• Strong experience with SQL, ETL/ELT, Data Modeling, Data Warehousing, and Database Design.
• Hands-on experience building Power BI dashboards, Data Visualization, and DAX calculations.
• Experience designing and delivering end-to-end production-ready Data Analytics solutions.
• Hands-on experience with at least one cloud platform: AWS, Azure, GCP, or Snowflake.
• Good understanding of cloud data warehouses such as Snowflake, Azure Synapse, BigQuery, or Redshift.
• Strong analytical, troubleshooting, and performance optimization skills.
• Ability to work closely with customers and stakeholders in an Agile environment.
• Self-driven team player with excellent problem-solving and communication skills.

Job Description

• Design, develop, and implement end-to-end Data Analytics and Data Visualization solutions.
• Build scalable ETL/ELT pipelines and cloud-based data platforms.
• Develop interactive dashboards and reports using Power BI and DAX.
• Collaborate with product, engineering, and business teams to deliver high-quality solutions.
• Analyze business requirements and translate them into scalable technical solutions.
• Participate in code reviews, testing, documentation, and solution optimization.
• Mentor junior team members and contribute to engineering best practices.

Requirements

• Strong experience building enterprise Data Analytics solutions.
• Hands-on experience with SQL, ETL/ELT, Data Warehousing, and Data Modeling.
• Expertise in Power BI, Data Visualization, and DAX.
• Strong SQL skills including joins, stored procedures, analytical functions, and query optimization.
• Experience with cloud platforms such as AWS, Azure, GCP, or Snowflake.
• Understanding of Data Security, performance tuning, monitoring, and troubleshooting.
• Familiarity with CI/CD, Agile methodologies, and cloud deployment best practices.
• Strong analytical, communication, and stakeholder management skills.
• Experience working with global customers is preferred.
• Good English communication skills.

Technology Stack

Data Analytics

• Data Visualization: Power BI, Tableau, Looker, Qlik, or similar BI tools.
• Cloud & Data Warehousing: Snowflake, Azure Synapse, BigQuery, Redshift, AWS, Azure, GCP.
• Databases: SQL Server, Oracle, PostgreSQL, MySQL, Azure SQL, AWS RDS.
• Core Skills: SQL, ETL/ELT, DAX, Data Modeling, Data Warehousing, Query Optimization, Performance Tuning.