Power BI Data Engineer — Enterprise Analytics

2 days ago

New Delhi, India Accel4 Inc Full time

Power BI Data Engineer — Enterprise AnalyticsLocation(s): Chennai, Hyderabad, Bangalore, India (On-site)About the RoleDesign, 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- 5–7 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.

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