Azure Data Engineer

Job Title: Azure Data Engineer Company: Persistent Systems Job Category: Data Science Roles & Responsibilities: Job Description About Persistent Our disruptor's mindset, commitment to client success, and agility to thrive in the dynamic environment have enabled us to sustain our growth momentum. Persistent has been recognized across top industry platforms for innovation, leadership, and inclusion. We have delivered 26 sequential quarters of growth with $487\.6M in Q4 FY26 revenue, up 7\.8% Q\-o\-Q and 20\.0% Y\-o\-Y. Our 29,500\+ global team members, located in 21 countries, have been instrumental in helping the market leaders transform their industries. We received five awards at the ISG (Information Services Group) Provider Lens Awards 2026 and, for the second year in a row, were awarded the Growth Honor of the Year at the Everest Group Elevate 2026\. As an Azure Data Engineer, you will be part of a high\-performing team focused on building scalable and reliable data solutions that support critical business and healthcare initiatives. You will collaborate with cross\-functional teams to design, develop, and optimize modern data platforms using Azure, Databricks, and PySpark. This role offers an opportunity to work on large\-scale data processing, cloud\-based architectures, and advanced analytics solutions that help drive better business outcomes. * Design, develop, and maintain scalable data pipelines using Azure Databricks and PySpark. * Build, enhance, and support complex ETL/ELT workflows for large\-scale data processing. * Develop high\-performance data solutions leveraging Azure data services and cloud\-native technologies. * Investigate and resolve data quality issues, pipeline failures, and production incidents. * Perform root cause analysis and troubleshooting for data processing and platform\-related issues. * Monitor, optimize, and tune Spark workloads to improve performance, scalability, and reliability. * Create and maintain efficient SQL queries, data models, and transformation logic. * Collaborate with business stakeholders, architects, and engineering teams to understand requirements and deliver robust data solutions. * Support production deployments and provide L2/L3 support for critical data platforms. * Implement data governance, monitoring, and operational best practices. * Ensure adherence to coding standards, security policies, and data engineering best practices. * Drive continuous improvements in data processing frameworks, automation, and platform stability. Work Location: TS, India Availability: Full time

* 4\-0-3 years of experience in Data Engineering, Big Data, and Data Integration projects. * Strong hands\-on experience with Azure Databricks and PySpark. * Solid experience designing and developing ETL/ELT pipelines for enterprise\-scale data platforms. * Strong proficiency in SQL, data analysis, and database concepts. * Hands\-on experience with Azure cloud services and modern data architectures. * Experience working with Apache Spark for distributed data processing and optimization. * Strong understanding of Delta Lake, Data Lake, and Lakehouse architectures. * Experience in troubleshooting production issues, data inconsistencies, and performance bottlenecks. * Knowledge of data governance, data quality, and metadata management practices. * Experience with CI/CD pipelines, DevOps practices, and deployment automation. * Strong analytical, problem\-solving, and debugging skills. * Excellent communication and stakeholder management skills. * Bachelor's degree in Engineering, Computer Science, Information Technology, or a related field. Benefits: * Competitive salary and benefits package * Culture focused on talent development with quarterly growth opportunities and company\-sponsored higher education and certifications * Opportunity to work with cutting\-edge technologies * Employee engagement initiatives such as project parties, flexible work hours, and Long Service awards * Annual health check\-ups * Insurance coverage: group term life, personal accident, and Mediclaim hospitalization for self, spouse, two children, and parents Key Skills: SQL Salary: $487