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).