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About the role
We're Growing Our Data Engineering Team! Join us at our Pan-India Walk-In Drive this Saturday, 23rd August and be part of our mission to build world-class cloud-native data solutions . Experience: 7 to 14 years ( only relevant profiles will be considered ) Locations: Hyderabad | Bangalore | Pune | Chennai Work Timing: 2:00 PM – 11:00 PM Work Mode: FTE-Hybrid Must-Have Skills PySpark – advanced performance optimization AWS Services – Redshift, Glue, Athena, Lambda, DMS, RDS, CloudFormation SQL – strong query-writing and optimization ETL Development – pipelines for structured & unstructured data Python – robust coding skills Data Modeling – scalable and performance-driven design Key Responsibilities Design, build, and optimize ETL pipelines on AWS Develop and optimize data models for performance & efficiency Write complex SQL queries for analytics and reporting Collaborate with stakeholders to define and deliver data-driven solutions Implement and maintain AWS-based data architectures Ensure best practices in performance tuning, cost optimization, and scalability Work in Agile teams to deliver business-critical projects Ideal Candidate 7–14 years of experience in AWS Data Engineering Hands-on with big data & cloud-native ecosystems Strong analytical and problem-solving skills Comfortable working in a hybrid environment Apply now or walk in directly at our offices across the mentioned locations. #Hiring #WalkInDrive #AWSDataEngineer #DataEngineering #CloudCareers #Pyspark #Redshift #Glue #SQL #ETL #Python #TechCareers
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