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CGI - AWS Data Engineer - PySpark (2-10 yrs)
hirist.tech
posted 15hr ago
Key skills for the job
Role : AWS Data Engineer / AWS Service Developer
Location : Bangalore, Chennai
Years of experience : 2 to 10 years
Role : Software Engineer / Senior Software Engineer / Lead Analyst
Key skills : AWS Developer, AWS Data Engineer, AWS API Gateway, AWS RDS, AWS network, AWS Glue, AWS Lambda.
We are seeking a highly skilled AWS Developer with 2 -10 years of hands-on experience across a range of AWS services, including API creation, network architecture, and security. The ideal candidate will be proficient in AWS Lambda, Glue, API Gateway, Lattice, RDS, and Databricks, with a proven ability to design and deploy scalable serverless applications.
This role requires expertise in data processing, data warehousing, and API development, with a strong focus on security, optimization, and teamwork.
Responsibilities :
- Design, develop, and deploy scalable, secure applications using AWS cloud-native technologies.
- Use AWS services like Lambda, Kinesis, Redshift, and API Gateway to build high-performance solutions.
- Architect serverless applications using AWS Lambda for event-driven computing.
- Build and maintain real-time or batched data pipelines
- Design and optimize data warehouses with Amazon Redshift for large-scale data storage and analysis.
- Implement event-driven architectures for efficient communication between various AWS services.
- Write and optimize PySpark code for the data processes to transform and load data.
- Ensure security and compliance with AWS best practices, including VPC, IAM, and encryption.
- Identify performance, scalability, and cost-saving opportunities within AWS environments.
- Create and maintain technical documentation for AWS architecture and processes.
- Good understanding and working knowledge of GIT CI/CD pipelines for automated testing and deployment.
- Troubleshoot and resolve issues with AWS services to minimize production downtime.
Must-Have Skills :
- Proficiency in a wide range of AWS services, with a focus on Lambda, Kinesis, and Redshift.
- Strong skills in designing, implementing, and optimizing data warehousing solutions using Amazon Redshift.
Functional Areas: Other
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