Power BI Data Engineer — Enterprise Analytics

Power BI Data Engineer Enterprise Analytics

Location: Hyderabad, India (On-site)

About the Role

Design, develop, and maintain interactive Power BI dashboards and reports to empower business stakeholders with actionable insights.

Responsibilities

• Build and optimize ETL pipelines for data ingestion, transformation, and loading into analytics platforms (Power BI, Snowflake, Databricks, or Microsoft Fabric).
• Develop and implement star schemas, data models, and semantic models for analytics cubes to support enterprise reporting and BI needs.
• Collaborate with data scientists, analysts, and business teams to translate requirements into scalable data solutions.
• Ensure data quality, governance, and security across all BI workflows, adhering to best practices.
• Deploy and monitor data solutions on cloud platforms (Azure preferred, AWS/GCP a plus).
• Continuously improve performance of data pipelines and reports through optimization and automation.

Qualifications

• 57 years of experience in data engineering, with a focus on BI solutions and Power BI development.

Required Skills

• Strong expertise in Power BI (DAX, Power Query, report design) and building intuitive, high-performance dashboards.
• Proven experience designing and implementing ETL processes and star schemas for analytics cubes.
• Hands-on experience with cloud data platforms like Snowflake, Databricks, or Microsoft Fabric.
• Proficiency in SQL for querying and transforming large datasets.
• Familiarity with Azure data services (e.g., Azure Data Factory, Synapse Analytics) or equivalent cloud tools.
• Self-motivated with a proactive approach to problem-solving, capable of managing complex projects with minimal oversight.

Preferred Skills

• Familiarity with data orchestration tools (e.g., Apache Airflow, Prefect).
• Knowledge of data warehousing concepts and tools (e.g. Fabric, Redshift, BigQuery).
• Exposure to AI/ML integration for predictive analytics or anomaly detection.