· Design, develop, and maintain scalable Synapse pipelines for data ingestion, processing, and transformation in Azure data platform.

· Develop and optimize T-SQL and Python-based data processing scripts and integrate them with Synapse pipelines for ETL tasks and data transformations.

· Design and develop mapping dataflow solutions for complex data transformations.

· Develop and maintain data storage solutions, ensuring efficient data retrieval and storage on Azure Data Lake and databases.

· Implement and maintain API integrations, including REST APIs, for seamless data flow between systems.

· Design and test the end-to-end process for data ingestion, data transformation, data cleansing, data delivery, data quality and data timeliness.

· Implement and ensure data security and privacy measures, complying with industry standards and regulations.

· Monitor and optimize the performance of Azure data services, Azure Synapse pipelines, Function Apps, and Logic Apps.

· Improve the scalability, efficiency, and cost-effectiveness of data pipelines.

· Participate in Joint Application Development sessions with business units to gather and understand their data and reporting requirements.

· Create and maintain technical documentations for tools, development, and procedures.

· Provide inputs and assist in enablement of Cloud based data solutions.

· Develop and recommend innovative approaches to solve business and technical problems.

· Work and collaborate with the larger team to exchange knowledge, solutions, and practices to build a more consistent, robust approach to development.

· Continuously improve performance and proactively identify and resolve bottlenecks that will reduce time to build and deliver our products.

· Troubleshoot and resolve data-related issues in a timely manner for production and other environments (DEV,UAT,QA)

· Perform business as usual tasks (BAU) that assigned