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Senior Data Engineer - Python/Azure Databricks Job Opening In Bengaluru – Now Hiring ORANGEMINT TECHNOLOGIES PRIVATE LIMITED


Job description

<p><p>This role is responsible for the design, development, and maintenance of data integration and reporting solutions.

The ideal candidate will possess expertise in Databricks and strong skills in SQL Server, SSIS and SSRS, and experience with other modern data engineering tools such as Azure Data Factory.

This position requires a proactive and results-oriented individual with a passion for data and a strong understanding of data warehousing principles.</p><br/><p><b>Requirements : </b></p><br/><p>- Bachelor's degree in computer science, Information Systems, or a related field.</p><br/><p>- 7+ years of experience in data integration and reporting.</p><br/><p>- Extensive experience with Databricks, including Python, Spark, and Delta Lake.</p><br/><p>- Strong proficiency in SQL Server, including T-SQL, stored procedures, and functions.</p><br/><p>- Experience with SSIS (SQL Server Integration Services) development and maintenance.</p><br/><p>- Experience with SSRS (SQL Server Reporting Services) report design and development.</p><br/><p>- Experience with data warehousing concepts and best practices.</p><br/><p>- Experience with Microsoft Azure cloud platform and Microsoft Fabric desirable.</p><br/><p>- Strong analytical and problem-solving skills.</p><br/><p>- Excellent communication and interpersonal skills.</p><br/><p>- Ability to work independently and as part of a team.</p><br/><p>- Experience with Agile : </b></p><br/><p><b>Data Integration : </b></p><br/><p>- Design, develop, and maintain robust and efficient ETL pipelines and processes on Databricks.</p><br/><p>- Troubleshoot and resolve Databricks pipeline errors and performance issues.</p><br/><p>- Maintain legacy SSIS packages for ETL processes.</p><br/><p>- Troubleshoot and resolve SSIS package errors and performance issues.</p><br/><p>- Optimize data flow performance and minimize data latency.</p><br/><p>- Implement data quality checks and validations within ETL processes.</p><br/><p><b>Databricks Development : </b></p><br/><p>- Develop and maintain Databricks pipelines and datasets using Python, Spark and SQL.</p><br/><p>- Migrate legacy SSIS packages to Databricks pipelines.</p><br/><p>- Optimize Databricks jobs for performance and cost-effectiveness.</p><br/><p>- Integrate Databricks with other data sources and systems.</p><br/><p>- Participate in the design and implementation of data lake architectures.</p><br/><p><b>Data Warehousing : </b></p><br/><p>- Participate in the design and implementation of data warehousing solutions.</p><br/><p>- Support data quality initiatives and implement data cleansing procedures.</p><br/><p><b>Reporting and Analytics : </b></p><br/><p>- Collaborate with business users to understand data requirements for department driven reporting needs.</p><br/><p>- Maintain existing library of complex SSRS reports, dashboards, and visualizations.</p><br/><p>- Troubleshoot and resolve SSRS report issues, including performance bottlenecks and data inconsistencies.</p><br/></p> (ref:hirist.tech)

Required Skill Profession

Computer Occupations


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