Position - Kafka Data Engineer Skill - Kafka, Databricks Experience - 6-15 years Location - Pune Notice - 0 to 30 days
Job Descriptions
Design, develop, and maintain scalable data pipelines on AWS. Build and manage real-time data streaming solutions using
Apache Kafka . Develop and optimize
ETL/ELT pipelines for large-scale data processing. Work with AWS data services to build reliable and scalable data solutions. Monitor, troubleshoot, and optimize data pipelines and Kafka environments. Ensure data quality, reliability, security, and performance. Collaborate with application, cloud, and analytics teams. Participate in technical design, code reviews, and production support.
📌 Kafka Data Engineer (Pune)
🏢 Tata Consultancy Services
📍 Pune
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