Require a Data Engineer in Bengaluru

1. Power BI Development and Data Modeling
Requirement Gathering: Translate logical business requirements into clear technical specifications and 
analytical workflows. 
Data Connectivity: Connect directly to backend enterprise systems (SQL databases, cloud warehouses, and 
APIs), moving beyond flat Excel files. 
Data Modeling: Design efficient, optimized data schemas (Star/Snowflake) and establish clean table 
relationships. 
DAX & Power Query: Author high-performing DAX queries, calculations, and measures. Perform complex 
data transformation and cleansing in Power Query. 
Dashboard Design: Build intuitive, user-friendly, and visually clean dashboards that emphasize clear data 
storytelling. 
2. Power BI Platform Administration
Workspace & Deployment: Set up and manage workspaces, app publishing pipelines, and deployment 
environments. 
Access Control & Security: Configure Row-Level Security (RLS) and manage workspace user permissions 
and sharing. 
Gateway & Refresh Management: Configure, maintain, and troubleshoot on-premises/cloud data 
gateways and automated refresh schedules. 
Performance Optimization: Proactively monitor report performance, identify bottlenecks, and resolve 
dataset refresh errors.

Requirements

Professional Experience: 1 to 2 years of actual, hands-on experience building and administering Power BI 
environments. 
Strong SQL Skills: Proficient in writing and optimizing SQL queries (joins, aggregations, subqueries) to 
extract and manipulate data directly. 
Cloud Databases: Experience connecting to and querying modern cloud platforms (such as Snowflake, 
Databricks, Azure SQL, BigQuery, or Redshift). 
Power BI Fundamentals: Solid core knowledge of Power BI Desktop, Power BI Service, data gateways, and 
complex DAX measures. 
Analytical Reasoning: Strong logical thinking and problem-solving skills to ask clarifying questions and 
unpack requirements. 
Preferred Skills and Qualifications
Microsoft Fabric & GCP: Exposure to Microsoft Fabric (OneLake, Lakehouses) and experience querying 
data within Google Cloud Platform (BigQuery). 
Certifications & Tools: Microsoft PL-300 certification or basic familiarity with Power Platform tools (Power 
Apps, Power Automate).