Key Responsibilities: 
<ul>
<li style="margin-left:0px;">Design, develop, and maintain robust ETL workflows using SSIS, Azure Data Factory, and Databricks.</li>
</ul>

<ul>
<li style="margin-left:0px;">Write complex, optimized SQL Server queries for data transformation, analysis, and reporting.</li>
</ul>

<ul>
<li style="margin-left:0px;">Perform data modeling, integration, and warehousing in support of enterprise analytics initiatives.</li>
</ul>

<ul>
<li>Support and enhance existing SSIS packages; troubleshoot and resolve issues related to older ETL pipelines.</li>
</ul>

<ul>
<li style="margin-left:0px;">Develop and publish dashboards and reports using Power BI.</li>
</ul>

<ul>
<li style="margin-left:0px;">Implement data quality checks and validation routines to ensure the accuracy and consistency of data.</li>
</ul>

<ul>
<li style="margin-left:0px;">Collaborate with cross-functional teams including BI developers, analysts, and business stakeholders.</li>
</ul>

<ul>
<li>Contribute to the architecture, design, and implementation of scalable and secure data pipelines.</li>
</ul>

<ul>
<li style="margin-left:0px;">Document technical designs, solutions, and processes as per organizational standards. </li>
</ul>
Required Skills: 
<ul>
<li style="margin-left:0px;">8-12 years of hands-on experience with Microsoft SQL Server and writing complex T-SQL queries.</li>
</ul>

<ul>
<li style="margin-left:0px;">Strong ETL development experience using SSIS and Azure Data Factory.</li>
</ul>

<ul>
<li style="margin-left:0px;">Experience with Azure Databricks for big data processing and integration.</li>
</ul>

<ul>
<li style="margin-left:0px;">Willingness and capability to work with and improve legacy SSIS-based solutions.</li>
</ul>

<ul>
<li style="margin-left:0px;">Strong understanding of Data Warehousing concepts, star/snowflake schema, and dimensional modeling.</li>
</ul>

<ul>
<li style="margin-left:0px;">Proficiency in Power BI for data visualization and reporting.</li>
</ul>

<ul>
<li style="margin-left:0px;">Strong background in data quality, cleansing, validation, and auditing.</li>
</ul>

<ul>
<li style="margin-left:0px;">Experience with the Microsoft technology stack (Azure, SQL Server, SSRS, SSAS, etc.). </li>
</ul>
Preferred Qualifications:

<ul>
<li style="margin-left:0px;">Azure Data Engineer certification (e.g., DP-203) is a plus.</li>
</ul>

<ul>
<li style="margin-left:0px;">Experience working in Agile/Scrum environments.</li>
</ul>

<ul>
<li style="margin-left:0px;">Exposure to DevOps for DataOps pipelines (CI/CD for data). </li>
</ul>

Senior Data Engineer in Gurugram (UID-10829)

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Job Description for Senior Data Engineer

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