Key Responsibilities

Design and develop interactive Power BI dashboards, reports, and semantic models for business and executive stakeholders
Build and optimize data models (star/snowflake schemas) for performance and scalability
Develop complex DAX measures and calculations following best practices
Design, implement, and maintain ETL/ELT pipelines using SQL, Python, or cloud-native tools
Integrate data from multiple sources including databases, APIs, data lakes, and cloud platforms
Ensure data quality, validation, reconciliation, and monitoring across pipelines and reports
Optimize Power BI performance (query folding, incremental refresh, aggregations)
Implement row-level security (RLS) and governance standards
Collaborate with data architects, data engineers, and business stakeholders to translate requirements into analytics solutions
Support deployment, version control, and CI/CD for BI and data engineering assets
Mentor junior developers and contribute to BI and data engineering best practices

Required Skills & Qualifications

7+ years of experience in BI, analytics, or data engineering roles
Strong expertise in Power BI (Power BI Service, Desktop, DAX, Power Query)
Advanced proficiency in SQL (performance tuning, complex joins, window functions)
Hands-on experience with data engineering concepts (ETL/ELT, data pipelines, orchestration)
Experience with cloud data platforms (Azure Synapse, Azure Data Factory, Snowflake, AWS Redshift, BigQuery, etc.)
Strong understanding of data warehousing concepts and dimensional modeling
Experience working with large datasets and enterprise-scale BI solutions
Familiarity with DevOps/CI-CD practices for BI and data pipelines
Excellent communication and stakeholder management skills

Power BI (Data Engineering)