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Date Posted

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Technology

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AWS Cloud Engineer

Coforge

Fort Mill, SC

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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