Required Qualifications &amp; Skills Experience: 

<ul>
<li>12+ years of experience in data architecture, data engineering, or a similar role, with at least 3+ years of hands-on experience in Azure. </li>
</ul>

<ul>
<li>Cloud Expertise: Proven experience with Microsoft Azure data services (e.g., Azure Data Factory, Azure Synapse Analytics, Azure Data Lake Storage Gen2, Azure SQL DB).</li>
</ul>

<ul>
<li>Microsoft Fabric (Crucial): Hands-on experience with Microsoft Fabric is essential. </li>
</ul>

<ul>
<li>This must include:OneLake: Understanding of the OneLake architecture and its role as a unified data lake. </li>
</ul>

<ul>
<li>Fabric Warehousing: Experience building and managing data warehouses within the Fabric environment. </li>
</ul>

<ul>
<li>Fabric Pipelines &amp; Dataflows: Proficiency in building ETL/ELT pipelines using Fabric's native tools. </li>
</ul>

<ul>
<li>Spark in Fabric: Experience developing and troubleshooting Spark Jobs. </li>
</ul>

<ul>
<li>Databases: Strong proficiency in Azure PostgreSQL and/or Azure SQL Server, including performance tuning, security, and management. </li>
</ul>

<ul>
<li>Power BI: Extensive experience architecting the data backend for Power BI, including designing semantic models and optimizing for performance.</li>
</ul>

<ul>
<li style="margin-left:0px;">Programming/Scripting: Proficiency in SQL (advanced required), PySpark/Spark SQL, and Python. Experience with PowerShell for automation is a plus.</li>
</ul>

<ul>
<li>Data Modeling: Strong knowledge of data modeling principles (e.g., Star Schema, Kimball, Data Vault).</li>
</ul>

<ul>
<li>Problem-Solving: Excellent analytical and problem-solving skills with the ability to design solutions for complex business requirements.</li>
</ul>

Qualifications

Preferred Qualifications

<ul>
<li>Microsoft Azure certifications (e.g., DP-203: Data Engineer Associate, DP-500: Azure Enterprise Data Analyst Associate).</li>
</ul>

<ul>
<li>Microsoft Fabric-specific certification or proven coursework.</li>
</ul>

<ul>
<li>Experience with other ETL tools and legacy data warehouse systems.</li>
</ul>

<ul>
<li>Knowledge of data governance tools like Microsoft Purview. </li>
</ul>

Data Engineering

India

Required Qualifications &amp; Skills Experience: 12+ years of experience in data architecture, data engineering, or a similar role, with at least 3+ years of hands-on experience in Azure. Cloud Expertise: Proven experience with Microsoft Azure data services (e.g., Azure Data Factory, Azure Synapse Analytics, Azure Data Lake Storage Gen2, Azure SQL DB). Microsoft Fabric (Crucial): Hands-on experience with Microsoft Fabric is essential. This must include:OneLake: Understanding of the OneLake architecture and its role as a unified data lake. Fabric Warehousing: Experience building and managing data warehouses within the Fabric environment. Fabric Pipelines &amp; Dataflows: Proficiency in building ETL/ELT pipelines using Fabric's native tools. Spark in Fabric: Experience developing and troubleshooting Spark Jobs. Databases: Strong proficiency in Azure PostgreSQL and/or Azure SQL Server, including performance tuning, security, and management. Power BI: Extensive experience architecting the data backend for Power BI, including designing semantic models and optimizing for performance. Programming/Scripting: Proficiency in SQL (advanced required), PySpark/Spark SQL, and Python. Experience with PowerShell for automation is a plus. Data Modeling: Strong knowledge of data modeling principles (e.g., Star Schema, Kimball, Data Vault). Problem-Solving: Excellent analytical and problem-solving skills with the ability to design solutions for complex business requirements. Qualifications Preferred Qualifications Microsoft Azure certifications (e.g., DP-203: Data Engineer Associate, DP-500: Azure Enterprise Data Analyst Associate). Microsoft Fabric-specific certification or proven coursework. Experience with other ETL tools and legacy data warehouse systems. Knowledge of data governance tools like Microsoft Purview.

Data Engineering · Mumbai

Job highlights

Skillset required

Job Description

Job Description for Data Engineering

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