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MonoSpear Technologies - Azure Databricks Engineer - Spark/Python Job Opening In India, India – Now Hiring MonoSpear Technologies Pvt Ltd

MonoSpear Technologies Azure Databricks Engineer Spark/Python

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Job description

<p><p><b>Job Title :</b> Azure Databricks Expert (3+ years of experience)</p><br/><p><b>Job Description :</b></p><br/><p>We are seeking an experienced Azure Databricks Expert with hands-on expertise in Spark and PySpark to join our team.</p><br/><p>The ideal candidate will have a minimum of 3 years of experience in delivering Azure-based projects and working with various Azure services such as Azure Data Lake Storage (ADLS), Azure Data Factory (ADF), Azure Synapse Analytics, and Azure SQL Data Warehouse (SQL DW).</p><br/><p>As an Azure Databricks Expert, you will be responsible for developing and optimizing data pipelines, implementing scalable data solutions, and contributing to end-to-end data workflows.</p><br/><p>You will also be required to provide guidance on best practices for working with Databricks in the Azure cloud environment.</p><br/><p><b>Key Responsibilities :</b></p><br/><p>- Design, implement, and optimize data pipelines using Databricks, Spark, and PySpark for large-scale data processing.</p><br/><p>- Work with Azure Data Lake Storage (ADLS) to manage and store large volumes of structured and unstructured data.</p><br/><p>- Utilize Azure Data Factory (ADF) for orchestrating and automating data workflows.</p><br/><p>- Implement end-to-end data solutions using Azure Synapse Analytics and Azure SQL Data Warehouse (SQL DW) for data warehousing and analytics.</p><br/><p>- Collaborate with data engineers, data scientists, and stakeholders to build scalable, high-performance data pipelines.</p><br/><p>- Troubleshoot and optimize performance issues related to Databricks and Spark jobs.</p><br/><p>- Contribute to the development of best practices for data processing, pipeline design, and data integration.</p><br/><p>- Ensure data solutions are designed and implemented with a focus on scalability, reliability, and security.</p><br/><p>- Document processes, workflows, and code to ensure maintainability and knowledge sharing.</p><br/><p><b>Qualifications :</b></p><br/><p>- Minimum 4 years of experience in working with Databricks, Spark, and PySpark.</p><br/><p>- Hands-on experience with Azure Data Lake Storage (ADLS) for storing and managing large datasets.</p><br/><p>- Proficiency in using Azure Data Factory (ADF) for building and orchestrating data pipelines.</p><br/><p>- Experience with Azure Synapse Analytics and Azure SQL Data Warehouse (SQL DW) for data warehousing and analytics.</p><br/><p>- Strong understanding of cloud technologies, particularly Azure, and its data platform services.</p><br/><p>- Proven track record of delivering Azure-based projects with a focus on data engineering and analytics solutions.</p><br/><p>- Excellent problem-solving skills and the ability to troubleshoot and optimize data pipelines.</p><br/><p>- Strong programming skills in Python and SQL for data processing and manipulation.</p><br/><p>- Familiarity with Azure DevOps for version control and continuous integration/continuous deployment (CI/CD) pipelines (optional but preferred).</p><br/><p>- Strong communication and collaboration skills to work effectively with cross-functional teams.</p><br/><p><b>Preferred Skills :</b></p><br/><p>- Certification in Azure Data Engineer or other relevant Azure certifications.</p><br/><p>- Experience with other Azure services such as Azure Machine Learning, Azure Functions, or Azure Logic Apps</p><br/></p> (ref:hirist.tech)

Required Skill Profession

Computer Occupations


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