Consultant | Data Engineer + PowerBI | Bengaluru | Emerging ERP Solutions

• Job requisition ID : 103589 

• Location: Bengaluru

• Entity: Deloitte Touche Tohmatsu India LLP 

The team

Enterprise technology must do much more than keep the wheels turning; it is the engine that drives functional excellence and the enabler of innovation and long-term growth. Learn more about ET&P

Your work profile

Strong experience with the Microsoft Power BI stack.

Proficiency in SQL Database — ability to write complex queries, optimize performance, and ensure data integrity for reporting and analytics.

Expertise in data modeling, DAX, Power Query (M language), and report/dashboard development using Power BI.

Experience working with Power BI Service — including workspace management, dataset refreshes, gateways, and row-level security (RLS).

Strong understanding of data warehouse and data lake concepts to design optimized reporting and analytics solutions.

Experience creating semantic data models, establishing relationships, and implementing best practices for performance optimization.

Experience in integrating Power BI with Azure data sources, such as Azure SQL Database, Synapse, Databricks, and Data Lake.

Ability to collaborate with business stakeholders, SMEs, and Data/Business Analysts to understand requirements and deliver insightful dashboards.

Implement data transformation, cleansing, mapping, and automation using Power Query or Power BI Dataflows.

Develop and maintain KPI dashboards, scorecards, and visual analytics solutions aligned with business needs.

Knowledge of Agile and DevOps methodologies for managing the Power BI project lifecycle.

Strong understanding of ETL design principles, working with both structured and unstructured data, ensuring accuracy and reliability.

Ability to document best practices, governance standards, and deployment guidelines for Power BI assets across environments.

Collaborate with cross-functional teams to implement end-to-end analytics solutions that align with business goals.

Strong data management and Excel skills (Pivot Tables, VLOOKUPs, etc.).

Excellent communication and presentation skills for sharing insights with business and leadership teams.

Key skills required

4+ years of experience with Power BI stack technologies, including data engineering aspects.

Development experience using the technologies below:

Power BI Desktop & Power BI Service

Power BI Dataflows

Power Query (M language)

DAX (Data Analysis Expressions)

SQL Database

Having knowledge of (would be a plus):

Azure Data Engineering concepts, such as:

Azure SQL Database / Azure Synapse

Azure Data Lake Storage

Azure Databricks

Azure Analysis Services / Tabular Models

Power Apps

Microsoft SharePoint

Power Automate

Dynamics 365

Understanding of DevOps practices

Demonstrated teamwork, collaboration, and passion for new technologies

Certification in DP-200, DP-201, DP-203, DA-100, PL-300, AZ-900

Education - Any Graduate