Vacancy Description
Job Title: Senior AWS Data Engineer
Location: Bangalore & Hyderabad (Hybrid)
Experience: 5-12 Years
The Role
We are looking for a Senior Data Engineer. Who will manage the high-availability AWS environments while building scalable ETL pipelines using AWS Glue (Py Spark).
Responsibilities
Infrastructure: Design and manage secure, scalable AWS environments (VPC, EC2, S3, RDS, IAM).
Data Engineering: Develop AWS Glue ETL jobs (Py Spark) , manage Data Catalogs, and optimize S3 Data Lakes.
Containers: Package and deploy workloads using Docker and EKS/ECS.
Operations: Implement Cloud Watch monitoring, troubleshoot Glue job failures, and optimize for cost/performance.
AWS Glue & Data Engineering
Design, develop, and maintain AWS Glue ETL jobs using Py Spark / Python.
Build and manage AWS Glue Crawlers, Data Catalogs, and metadata structures.
Implement batch and near-real-time ingestion pipelines into Amazon S3–based data lakes.
Design efficient partit...
Location: Bangalore & Hyderabad (Hybrid)
Experience: 5-12 Years
The Role
We are looking for a Senior Data Engineer. Who will manage the high-availability AWS environments while building scalable ETL pipelines using AWS Glue (Py Spark).
Responsibilities
Infrastructure: Design and manage secure, scalable AWS environments (VPC, EC2, S3, RDS, IAM).
Data Engineering: Develop AWS Glue ETL jobs (Py Spark) , manage Data Catalogs, and optimize S3 Data Lakes.
Containers: Package and deploy workloads using Docker and EKS/ECS.
Operations: Implement Cloud Watch monitoring, troubleshoot Glue job failures, and optimize for cost/performance.
AWS Glue & Data Engineering
Design, develop, and maintain AWS Glue ETL jobs using Py Spark / Python.
Build and manage AWS Glue Crawlers, Data Catalogs, and metadata structures.
Implement batch and near-real-time ingestion pipelines into Amazon S3–based data lakes.
Design efficient partit...
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