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Metro Bangalore location, popular data engineering role, and broad skillset requirements increase applicant competition.
Data engineering skills (PySpark, Glue, Kafka) are highly transferable across industries.
Multiple mandatory technologies (PySpark, Glue, Snowflake, Kafka) raise filtering but no explicit years requirement.
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Design, develop, and optimize ETL and data pipelines using PySpark and AWS Glue for batch and real-time streaming data.
Work extensively with AWS services including RDS, DynamoDB, and Kafka integrating relational, NoSQL, and streaming data sources.
Implement Medallion architecture and Data Lake solutions (Hudi) ensuring scalable, reliable, and high-quality data engineering solutions.
Strong hands-on experience with PySpark and AWS Glue in AWS Data Engineering or ETL projects.
Excellent SQL programming skills and knowledge of Snowflake data warehousing.
Experience in building data pipelines involving AWS RDS, DynamoDB, Kafka streaming, and implementing Medallion architecture using Hudi.
Bachelor's degree in Engineering (B.E/B.Tech); Location: Bangalore, 5 days office work.
Experienced data engineer with practical expertise in AWS-native data services and complex ETL pipeline development.
Familiarity with streaming data technologies and modern data lake architectures applying Medallion patterns using Hudi.
Operates effectively in cross-functional teams and understands cloud-native data warehousing and reporting integrations.