Qualification Bachelor s or master s degree in computer science Information Technology Engineering or a related field Experience 5 to 10 Years Job Post Date 13 11 2025Job Expiry Date 13 12 2025Location Pune Chennai Design Architecture Design high-performance resilient and scalable data architectures for data ingestion and processing using best practices for Azure Databricks and Spark Team Leadership Provide technical guidance and mentorship to a team of data engineers fostering a culture of collaboration continuous learning and innovation Collaboration Work closely with data scientists business analysts and other stakeholders to understand data requirements and ensure smooth integration of various data sources into the data lake warehouse Optimization Performance Tuning Ensure data pipelines are optimized for speed reliability and cost efficiency in an Azure workplace Conduct performance tuning troubleshooting and debugging of Spark jobs and Databricks clusters Code Quality Best Practices Enforce and advocate for best practices in coding standards version control testing and documentation Integration with Azure Services Work with other Azure services such as Azure Data Lake Storage Azure SQL Data Warehouse Azure Synapse Analytics and Azure Blob Storage to integrate data seamlessly Continuous Improvement Stay current with industry trends and emerging technologies in the field of data engineering and make recommendations for improvements to the team s tools and processes Ensure Data Quality Implement data validation and data quality checks as part of the data ingestion process to ensure consistency accuracy and integrity of ingested data Risk Issue Management Proactively identify risks and blockers and resolve complex technical issues in a timely and effective manner

📌 Data Engineer (Maharashtra)
🏢 Hinduja Tech
📍 Maharashtra