<p><p><b>About the Role :</b></p><p><p><b><br/></b></p>We are looking for a skilled Azure Data Engineer with strong hands-on experience in designing, developing, and optimizing data solutions on the Azure platform.<br/><br/></p><p>The ideal candidate will have deep expertise in Azure Data Factory, Azure Synapse Analytics, Azure Databricks, and related services to build scalable, secure, and efficient data pipelines and Responsibilities : </b></p><p><b><br/></b></p>- Design, develop, and optimize robust data pipelines using Azure Data Factory (ADF), Azure Databricks, and Azure Synapse Analytics.<br/><br/></p><p>- Implement and maintain ETL/ELT processes for both structured and unstructured data from diverse sources.<br/><br/></p><p>- Develop and manage data models (star schema, snowflake schema, normalization) for OLTP and OLAP systems to support </p><p>reporting and advanced analytics.<br/><br/></p><p>- Integrate and process data from on-premises systems and cloud environments seamlessly.<br/><br/></p><p>- Manage Azure storage solutions, including Azure Data Lake Storage Gen2 and Blob Storage, ensuring scalability and performance.<br/><br/></p><p>- Enforce data governance, security, and compliance standards leveraging Azure Purview, role-based access control (RBAC), and data masking techniques.<br/><br/></p><p>- Collaborate closely with data scientists, business analysts, and stakeholders to deliver data-driven solutions aligned with organizational goals.<br/><br/></p><p>- Participate in DevOps activities, including CI/CD pipeline implementation for data projects using Azure DevOps or similar Skills & Qualifications : </b></p><p><br/></p>1.
Strong hands-on experience with : <br/><br/></p><p>- Azure Data Factory (ADF)<br/><br/></p><p>- Azure Synapse Analytics / Azure SQL Data Warehouse<br/><br/></p><p>- Azure Databricks / Apache Spark<br/><br/></p><p>- Azure Data Lake Storage (ADLS)<br/><br/></p><p>2.
Proficiency in SQL (T-SQL) and Python/PySpark for data processing and transformation.<br/><br/></p><p>3.
Experience designing ETL/ELT pipelines and data integration patterns for large-scale data environments.<br/><br/></p><p>4.
Solid understanding of data modeling concepts, including star schema, snowflake schema, and normalization.<br/><br/></p><p>5.
Knowledge of data governance, security best practices, and compliance in Azure environments.<br/><br/></p><p>6.
Exposure to DevOps practices and CI/CD pipeline creation, preferably using Azure DevOps.<br/><br/></p><p>7.
Strong analytical, problem-solving, and communication skills.<br/><br/></p><p>8.
Bachelors degree in Computer Science, Information Technology, or a related field preferred</p><br/></p> (ref:hirist.tech)