Key Responsibilities

<ul>
<li>Develop &amp; Maintain Power BI Solutions: Design, build, and deploy compelling and efficient Power BI dashboards, reports, and data models that meet complex business requirements.</li>
</ul>

<ul>
<li>Data Modeling &amp; DAX: Develop robust, scalable, and optimized data models within Power BI. Write highly efficient and complex DAX calculations, measures, and calculated columns to solve advanced analytical problems.</li>
</ul>

<ul>
<li>SQL &amp; Database Optimization: Serve as the subject matter expert for SQL. Write highly complex, performant stored procedures, functions, and views. Optimize database performance by tuning queries, managing indexes, and ensuring data integrity.</li>
</ul>

<ul>
<li>Azure Data Integration: Design and implement end-to-end Extract, Transform, Load (ETL)/ELT processes using Azure Data Factory (ADF) to connect disparate data sources and orchestrate data flows.</li>
</ul>

<ul>
<li>Data Lake Management: Manage, govern, and utilize data stored in Azure Data Lake Storage (Gen2), ensuring data quality and accessibility for BI consumption.</li>
</ul>

<ul>
<li>Legacy Integration: Develop, deploy, and maintain robust SSIS Packages for on-premises data integration tasks and migration projects.</li>
</ul>

<ul>
<li>Collaboration: Work closely with business stakeholders, data engineers, and analysts to gather requirements, define KPIs, and ensure data solutions align with organizational goals.</li>
</ul>

Required Skills &amp; Expertise

<ul>
<li>Microsoft Power BI: Expert in report development, data visualization best practices, Row-Level Security (RLS), and deployment/management on Power BI Service.</li>
</ul>

<ul>
<li>SQL/T-SQL: Expert proficiency in writing complex queries, performance tuning, optimization, and database design.</li>
</ul>

<ul>
<li>DAX (Data Analysis Expressions): Deep expertise in complex DAX pattern implementation (e.g., time intelligence, context transition, iteration functions).</li>
</ul>

<ul>
<li>Azure Data Platform: Hands-on experience with core Azure services: Azure SQL Database/Data Warehouse (Synapse), and Azure Data Lake.</li>
</ul>

<ul>
<li>Azure Data Factory (ADF): Strong experience in building and monitoring robust pipelines, managing linked services, and implementing data movement activities.</li>
</ul>

<ul>
<li>SSIS (SQL Server Integration Services): Proven ability to design, develop, and troubleshoot SSIS packages for complex ETL scenarios.</li>
</ul>

Qualifications.

<ul>
<li>Bachelor’s degree in computer science, Information Technology, or a related field (or equivalent practical experience).</li>
</ul>

<ul>
<li>Relevant Microsoft certifications (e.g., Azure Data Engineer Associate, Power Platform Developer Associate) are a plus.</li>
</ul>

Senior Power BI Developer in Mumbai (UID-13433)

Job Description

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Job Description for Senior Power BI Developer

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