Job Description

Job Title: AWS Cloud Engineer (with strong Python skills)

Experience: 10+ Years

Skills: AWS,Python,Pyspark

Location: Fort Mill SC

We at Coforge are hiring AWS Cloud Engineer with the following skillset:

Responsibilities:

• Design and develop cloud-native applications leveraging Python and PySpark on AWS.
• Build and optimize serverless and distributed architectures using Lambda , Step Functions , MSK , and other AWS components.
• Implement robust data pipelines using AWS Glue , S3 , and RDS /NoSQL databases.
• Optimize application performance using caching mechanisms like ElastiCache (Redis/Memcached).
• Integrate cloud applications with message brokers like Kafka (MSK) and build event-driven workflows.
• Monitor and troubleshoot production environments using CloudWatch and other observability tools.
• Ensure cloud solutions follow best practices for security, scalability, and cost-efficiency .
• Collaborate with cross-functional teams (data, infra, and app teams) to design and deploy solutions.

Required Skills:

• Strong programming skills in Python, including hands-on with PySpark.
• Deep knowledge of core AWS services: Lambda, S3, EC2, RDS, CloudWatch, ElastiCache, Step Functions.
• Experience with AWS Glue for ETL/ELT processes and data transformations.
• Working knowledge of Amazon MSK (Kafka) and event-driven data processing.
• Good understanding of distributed systems, microservices, and asynchronous architecture.
• Experience in writing and optimizing SQL queries for structured data stores like Aurora PostgreSQL or MySQL.
• Familiarity with NoSQL databases (e.g., DynamoDB) is a plus.
• Exposure to Git/SVN for version control.

Additional/Optional Skills (Nice to Have):

• Exposure to CI/CD tools such as Jenkins, AWS CodePipeline, or CodeBuild.
• Experience with Infrastructure as Code (IaC) using Terraform or CloudFormation.
• Basic understanding of DevOps practices, deployment strategies, and automation pipelines.
• Security best practices in a cloud-native environment (IAM, encryption, logging, etc.).

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