<ul>
<li>Data Management: Design, implement, and manage data solutions on the Microsoft Azure cloud platform.</li>
</ul>

<ul>
<li>Data Integration: Develop and maintain data pipelines, ensuring efficient data extraction, transformation, and loading (ETL) processes using Azure Data Factory.</li>
</ul>

<ul>
<li>Data Storage: Work with various Azure data storage solutions like Azure SQL Database, Azure Data Lake Storage, and Azure Cosmos DB.</li>
</ul>

<ul>
<li>Big Data Processing: Utilize big data technologies such as Azure Databricks and Apache Spark to handle and analyze large datasets.</li>
</ul>

<ul>
<li>Data Architecture: Design and optimize data models and architectures to meet business requirements.</li>
</ul>

<ul>
<li>Performance Monitoring: Monitor and optimize the performance of data systems and pipelines.</li>
</ul>

<ul>
<li>Collaboration: Collaborate with data scientists, analysts, and other stakeholders to support data-driven decision-making.</li>
</ul>

<ul>
<li>Security and Compliance: Ensure data solutions comply with security and regulatory requirements.</li>
</ul>

<ul>
<li>Technical Skills: Proficiency in Azure Data Factory, Azure Databricks, Azure SQL Database, and other Azure data tools.</li>
</ul>

<ul>
<li>Analytical Skills: Strong analytical and problem-solving skills.</li>
</ul>

<ul>
<li>Communication: Excellent communication and teamwork skills.</li>
</ul>

<ul>
<li>Certifications: Relevant certifications such as Microsoft Certified: Azure Data Engineer Associate are a plus.</li>
</ul>

Qualifications

<ul>
<li>Bachelor’s or Master’s degree in Computer Science, Information Technology, or a related field.</li>
</ul>

Data Engineer

India

Data Management: Design, implement, and manage data solutions on the Microsoft Azure cloud platform. Data Integration: Develop and maintain data pipelines, ensuring efficient data extraction, transformation, and loading (ETL) processes using Azure Data Factory. Data Storage: Work with various Azure data storage solutions like Azure SQL Database, Azure Data Lake Storage, and Azure Cosmos DB. Big Data Processing: Utilize big data technologies such as Azure Databricks and Apache Spark to handle and analyze large datasets. Data Architecture: Design and optimize data models and architectures to meet business requirements. Performance Monitoring: Monitor and optimize the performance of data systems and pipelines. Collaboration: Collaborate with data scientists, analysts, and other stakeholders to support data-driven decision-making. Security and Compliance: Ensure data solutions comply with security and regulatory requirements. Technical Skills: Proficiency in Azure Data Factory, Azure Databricks, Azure SQL Database, and other Azure data tools. Analytical Skills: Strong analytical and problem-solving skills. Communication: Excellent communication and teamwork skills. Certifications: Relevant certifications such as Microsoft Certified: Azure Data Engineer Associate are a plus. Qualifications Bachelor’s or Master’s degree in Computer Science, Information Technology, or a related field.

Data Engineer · Mumbai

Job highlights

Skillset required

Job Description

Job Description for Data Engineer

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