Senior Data Analytics and Visualization Engineer

EPAM Systems is seeking a Senior Data Analytics and Visualization Engineer who is passionate about data and eager to build next-generation visual and analytical solutions. In this role, you will act as a pivotal link between complex raw data and executive decision-making, engaging with marquee clients across diverse sectors to unlock the true value of their data assets.

Responsibilities:

• Advanced Dashboard & Report Development: Design, develop, and deploy highly performant, visually compelling, and intuitive enterprise dashboards and reports (with a primary focus on Power BI, Tableau, or Qlik)
• Requirement Gathering & Stakeholder Management: Actively liaise with Product Owners, business analysts, and corporate client stakeholders. Conduct detailed analysis of business problems, gather requirements, and facilitate interactive demo sessions
• Data Modeling & Profiling: Engineer and implement optimal data models (including Dimensional Modeling, Star, and Snowflake schemas). Conduct thorough data preparation, profiling, and quality validation
• Python Integration & Process Automation: Utilize Python (Pandas, NumPy, and related libraries) to automate data processes, perform advanced statistical profiling, or integrate custom predictive analytics and data science models directly into visual BI dashboards
• Environment Administration & Security: Oversee and manage the reporting environments and workspaces. Define and implement robust security frameworks, including Row-Level Security (RLS) and access governance
• Modern Data Architecture Collaboration: Contribute to high-level architecture discussions. Align BI deliverables with modern data structures (Data Warehouses, Data Lakes, Lakehouses/Delta Lakes, and Datamarts) and staging processes
• QA & Testing Standards: Design and contribute to comprehensive testing methodologies for data products to ensure 100% accuracy, speed, and alignment with industry standards
• Agile & DevOps Principles: Work actively within a modern Agile development environment (SCRUM/Kanban) and champion the adoption of CI/CD principles and BI version control practices

Requirements:

• Professional Experience: 5+ years of hands-on experience developing, designing, and maintaining complex BI solutions using tools like Power BI (strongly preferred), Tableau, or Qlik
• Programming & Scripting: Strong programming proficiency in Python and advanced SQL (including DAX or MDX)
• Database Expertise: Proven background in relational databases (such as MS SQL Server, Oracle, MySQL, and PostgreSQL). Experience with high-performance columnar analytical databases (e.g., ClickHouse) is highly valued
• Data Engineering Concepts: Clear understanding of data tiering (landing, staging area, data cleansing, profiling, and security) and data warehouse architecture (DWH, Data Lake, Delta Lake, Datamarts)
• Cloud Architecture: Hands-on flexibility using Cloud platforms (specifically AWS—including services like S3, Glue, Athena, and Lambda—or equivalent services in Azure, GCP, or Snowflake)
• Quality Assurance: Demonstrated expertise in testing data products, validation, and dashboard performance tuning
• Agile Frameworks: Experience working in fast-paced Agile development environments (SCRUM, Kanban)
• CI/CD & DevOps: Familiarity with modern CI/CD principles and version control tools for report deployment
• Communication & English Skills: Strong presentation and communication skills, with a proven capability of bridging technical data concepts to C-level executives. Fluent English proficiency (Upper-Intermediate level or higher)
• ETL/ELT Pipeline Development: Experience building, monitoring, and optimizing ETL data pipelines
• Low-Code/No-Code Apps: Familiarity with low-code application development platforms (such as Power Apps)
• Advanced BI Certifications: Professional certifications, such as Microsoft Certified: Power BI Data Analyst Associate, Power Platform App Maker, or cloud certifications