Sr. Azure Data engineer

Job description

Job Description About Persistent We are an AI-led, platform-driven Digital Engineering and Enterprise Modernization partner, combining deep technical expertise and industry experience to help our clients anticipate what's next. Our offerings and proven solutions create a unique competitive advantage for our clients by giving them the power to see beyond and rise above. We work with many industry-leading organizations across the world, including 20 Fortune 50 companies and 4 of the 5 top banks in both the US and India, and numerous innovators across the healthcare ecosystem. 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 reported $1,654.4M FY26 revenue with 17.4% Y-o-Y growth. We have delivered 24 sequential quarters of growth with $436.0M in Q4 FY26 revenue, up 3.2% Q-o-Q and 16.2% Y-o-Y growth. Our 27,500+ global team members, located in 18 countries, have been instrumental in helping the market leaders transform their industries. About Position: As a Senior Azure Data Engineer, you will have the opportunity to be part of a high-performing data engineering team focused on transforming healthcare data into actionable insights that improve outcomes and business decisions. We are looking for a highly skilled professional with expertise in Databricks, PySpark, SQL, and Production Support to design, develop, and maintain enterprise-scale data platforms and pipelines. • Role: Sr. Azure Data engineer • Location: Pune • Experience: Between 8 to 10 Years • Job Type: Full Time Employment What You'll Do: • Design, develop, and maintain scalable data pipelines using Databricks and PySpark. • Build and optimize enterprise-grade ETL and ELT frameworks for large-scale data processing. • Investigate and resolve data quality issues, pipeline failures, and production incidents. • Perform root cause analysis for framework failures, processing issues, and application defects. • Monitor, tune, and optimize Spark workloads for performance, scalability, and reliability. • Develop and optimize SQL queries for data extraction, transformation, validation, and reporting. • Collaborate with business users, architects, and engineering teams to implement robust data solutions. • Support production deployments and provide L2/L3 support for critical data platforms and applications. • Troubleshoot complex data processing, workflow, and platform-related issues. • Implement monitoring, alerting, and operational support processes to improve platform stability. • Ensure data quality, accuracy, consistency, and availability across systems. • Drive adoption of engineering best practices, coding standards, and operational governance. • Participate in code reviews and contribute to continuous improvement initiatives. • Support cloud-native data solutions using Azure and AWS platforms. • Create and maintain technical documentation, operational runbooks, and support procedures. • Contribute to Agile ceremonies including sprint planning, stand-ups, reviews, and retrospectives. Expertise You'll Bring: • 8 to 10 years of experience in Data Engineering, Big Data, and cloud-based data platforms. • Minimum 5+ years of hands-on experience with Databricks and PySpark. • Strong expertise in designing and developing distributed data processing solutions. • Extensive experience in Production Support, incident management, and root cause analysis. • Strong SQL development skills with experience in query optimization and performance tuning. • Experience building and supporting complex ETL/ELT pipelines and large-scale data frameworks. • Strong debugging, troubleshooting, and performance optimization capabilities. • Hands-on experience with Azure or AWS cloud platforms. • Experience working with Spark optimization techniques, job performance tuning, and cluster management. • Knowledge of Delta Lake architecture and modern Lakehouse implementations. • Understanding of data governance, data quality, and data security best practices. • Familiarity with CI/CD pipelines, DevOps practices, and deployment automation. • Experience with monitoring, observability, and operational support tools. • Strong analytical and problem-solving skills with the ability to resolve complex technical issues. • Excellent communication and stakeholder management capabilities. • Bachelor's degree in Engineering, Computer Science, Information Technology, or equivalent experience. 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 Values-Driven, People-Centric & Inclusive Work Environment: Persistent is dedicated to fostering diversity and inclusion in the workplace. We invite applications from all qualified individuals, including those with disabilities, and regardless of gender or gender preference. We welcome diverse candidates from all backgrounds. • We support hybrid work and flexible hours to fit diverse lifestyles. • Our office is accessibility-friendly, with ergonomic setups and assistive technologies to support employees with physical disabilities. • If you are a person with disabilities and have specific requirements, please inform us during the application process or at any time during your employment. Let's unleash your full potential at Persistent - persistent.com/careers **“Persistent is an Equal Opportunity Employer and prohibits