Position: AWS Data Engineer

Experience: 2 to 5 years

Location: Hyderabad

Employment Type: Full time

Roles & Responsibilities
Design, develop, and maintain scalable data pipelines using AWS services such as Glue, EMR, Lambda, S3, and Redshift.
Build and manage ETL/ELT workflows to extract, transform, and load data from multiple sources.
Develop batch and real-time data processing solutions using Spark, PySpark, Kafka, and Kinesis.
Create and optimize data warehouse and data lake architectures.
Perform data modeling and database design for analytics and reporting requirements.
Ensure data quality, integrity, governance, and security across the data platform.
Optimize SQL queries, Spark jobs, and AWS resources for performance and cost efficiency.
Implement infrastructure as code (IaC)



using Terraform or CloudFormation.
Automate deployment processes through CI/CD pipelines using Jenkins, GitHub Actions, or AWS DevOps tools.
Monitor data pipelines and cloud resources using CloudWatch and other monitoring tools.
Troubleshoot production issues and perform root cause analysis.
Collaborate with Data Scientists, BI Developers, Analysts, and Business Stakeholders.
Implement AWS IAM policies and security best practices.
Manage large-scale structured and unstructured datasets in cloud settings.
Support data migration projects from on-premises systems to AWS cloud.

📌 Aws Data Engineer Hyderabad
🏢 Infosys
📍 Hyderabad