Description

You design, develop, and maintain interactive Power BI dashboards, semantic models, and reports. You own the full lifecycle from data ingestion via ETL/ELT pipelines to final visualization and production support.

This role is on-site.

Responsibilities

• Build and optimize semantic models using DAX, Power Query (M), and Row-Level Security (RLS).
• Develop scalable data models and reusable analytical solutions using SQL and Power BI.
• Support data engineering initiatives including ETL/ELT pipelines, data validation, and migrations.
• Collaborate with business stakeholders to translate requirements into technical solutions.
• Perform production support, root cause analysis, and data quality validation.

Required Skills

• 2–5 years of experience in Business Intelligence, Analytics Engineering, or Data Analytics.
• Strong hands-on experience with Power BI, DAX, Power Query, and Data Modeling.
• Strong SQL skills for querying, validation, troubleshooting, and performance optimization.
• Experience with enterprise data platforms such as Amazon Redshift, Azure SQL, Azure Data Factory, Synapse, or Databricks.
• Understanding of ETL/ELT processes, analytics engineering, and data warehousing.
• Bachelor's degree in a relevant field.

Preferred Skills

• Microsoft Fabric (Lakehouse, Warehouse, Semantic Models, Data Factory).
• Python or Spark.
• Experience with IoT, telemetry, or high-volume event data.

Key Skills

Education

Bachelor's degree