Fullstack Python Data Engineer
Dice
Dice Career Opportunities:
Dice is the leading career destination for tech experts at every stage of their careers. Our client, SES, is seeking the following. Apply via Dice today!
Data Engineer:
- The candidate will be working as part of scrum team with PO, Scrum Master, Tech Lead and several developers & testers, DevOps resources to move the OnPrem application to AWS Cloud.
- Will be working on stories to move features of the application to AWS cloud environment.
- Technologies used are AWS Cloud, Python, etc.
AWS, Python:
- Experience developing solutions on the AWS platform using services such as RDS, S3, IAM, Lambda, API Gateway, EC2, EB, IAM, SDK, CLI, Code Deploy, Code Commit, Lambda/Step Functions, Cloudfront, Cloudwatch, etc.
- Experience with Docker, ECS, EKS, Fargate, EMR ESB, Code coverage tools like Fortify.
- Exposure to CI/CD Continuous integration tools like Jenkins, Test Automation, Build tools like Gradle/Maven/Ant.
- Experience with version control tools like SVN and Git.
Tech Skills:
Must have:
- Python, Pandas , NumPy, Pyspark
- AWS Hands on Development Experience
- AWS EMR, Redshift, Glue
- Database (Oracle , Postgres)
- DevOps - Jenkins , Cucumber
Preferred Skills:
- Knowledge in AWS Development, Python, PySpark, AWS DevOps, Agile
- Skilled in JavaScript (nice to have)
- Experience using BitBucket (Nice to have)
- Skilled in using Selenium for testing
- Skilled in AWS Developer tools such as CodeBuild, CodeDeploy, CodeStar, or CodePipeline
- Experience using JIRA
- Skills in AWS Glue
- Skilled in SQL
- Skilled in Docker
- Skilled in Jenkins
- Experience using APIs for developing or programming software
Skills in SAS is not required however it is considered a Nice To Have.
Must be FULL-STACK Python Developer
Fullstack Python Data Engineer
Expertise level
Work arrangement
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