AWS Data Engineer Position

3 days ago

kolkata, India beBeeDataEngineering Full time

Data Engineering LeadDrive data innovation by leading the development of scalable data architectures and collaborating with stakeholders to meet business objectives.Create high-performance ETL workflows using AWS Glue, PySpark, and dynamic frame partitioning for ingesting structured and semi-structured data into the AWS data lake.Develop reusable Glue jobs and crawlers for automated metadata cataloging and data transformations, ensuring seamless integration with other AWS services such as S3, Athena, Redshift, Lambda, and CloudWatch.Optimize Glue job performance through parallelism tuning, job bookmarking, and efficient resource allocation.Leverage AWS services like Iceberg for versioned, transactional data storage and Lake Formation for secure access to datasets.Design and implement a data lakehouse architecture that integrates Glue with other AWS services for end-to-end orchestration and monitoring.Ensure fine-grained access control to datasets using IAM policies and Lake Formation.Required Skills:- Strong expertise in AWS ETL (Glue, lambda, Batch, EMR) & API Development(Fast API + Core python), Redshift- Proficiency in workload management- Experience with materialized views, DDL optimizations, and JSON handling- Expertise in AWS Glue to Redshift loads, row & column-level security, and IAM, KMS, Secret Manager, and fine-grained access control- Familiarity with batch & stream workloads, performance tuning, and cost optimizationWhat We Offer:- Opportunity to lead cutting-edge data engineering projects- Collaborative environment with experienced professionals- Continuous learning and growth opportunities

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