 Design, architect, and develop end-to-end data solutions on the Azure Stack platform.

 Implement and optimize data pipelines, ETL processes, and data integration solutions using

Azure Data Factory, Azure Data Lake, Azure Databricks, Azure SQL Database, and other relevant

Azure services.

 Collaborate with data scientists, analysts, and business stakeholders to understand data requirements and translate them into technical solutions.

 Perform advanced data modelling, data profiling, and data quality assessments to ensure accurate and reliable data.

 Optimize data processing workflows for performance, scalability, and cost efficiency.

 Implement data governance, data security, and compliance practices in line with industry standards and regulations.

 Monitor and troubleshoot data solutions, identify, and resolve issues, and implement proactive measures to ensure data availability and reliability.

 Mentor and guide junior data engineers, provide technical leadership, and contribute to the continuous improvement of data engineering practices.

📌 DATA ENGINEER (Mumbai)
🏢 Mahindra Finance-IT
📍 Mumbai