Senior Data Engineer

Senior Data Engineer Experience: 6+ Years Location: WFH / Remote (India) Open Positions: Multiple Qualification: B.Tech / M.Tech / MCA orequivalent Work Timings: 1:30 PM IST – 10:30 PM IST Functional Area: Data Engineering About the Role Weare seeking an experienced Senior Data Engineer to design, develop, and maintain scalable, reliable, andhigh-performance data platforms and pipelines that support businessintelligence, analytics, and data-driven decision-making. Theideal candidate will have strong hands-on expertise in Python,Apache Spark, Apache Airflow, Amazon Redshift, SQL, and modern data engineeringpractices, along with mandatory experience in the Healthcare domain. The candidate should haveexperience building end-to-end ETL/ELT pipelines, processing large-scaledatasets, implementing data quality frameworks, and supporting enterpriseanalytics and reporting needs. This rolerequires a technically strong professional who can collaborate with businessstakeholders, data analysts, architects, and application teams to deliverrobust and scalable data solutions. Key Responsibilities Design, develop, and maintain scalable data pipelines and ETL/ELT workflows for structured and unstructured data. Build and optimize data ingestion, transformation, and data integration processes using Python and Apache Spark. Develop, schedule, and monitor workflows using Apache Airflow. Design and manage enterprise data warehouse solutions using Amazon Redshift. Implement data models, data marts, and reporting datasets to support analytics and business intelligence requirements. Optimize data processing jobs and database performance for scalability and efficiency. Work with large healthcare datasets, ensuring data accuracy, consistency, and compliance with industry standards. Collaborate with business stakeholders to understand reporting and data requirements. Implement data quality checks, validation frameworks, and monitoring processes. Troubleshoot data pipeline issues and perform roo