Job details
Job type contract
Full job description
Job responsibilities:
Implement etl routines on aws
Contribute to ci/cd tools for continuous validation.
Understands when to automate and when not to.
Understand what it takes to create well architected applications for cloud
Think of code and quality being owned by the entire team.
Identify code defects and work with other developers to address quality issues in functional code.
Find bottlenecks and thresholds in existing code through the use of automation tools.
Passion for continuing education and improving code quality.
Operational triage of bugs, failed test cases and system failures
Creating and optimizing infrastructure performance metrics
Participate in peer code reviews and pair programming
Deploying & developing cloud applications end to end
Working in stages of the environment lifecycle
Automation of manual data object creation and test cases
Ask smart questions, take risks and champion new ideas.
Skills and experience required:
Required:
Professional etl experience using spark (python or scala)
2+ year experience designing technical solutions using object-oriented design concepts.
1+ year of aws solution engineering and architecture experience
1+ year of ci/cd experience (jenkins, terraform, cloudformation etc.)
Experience working with large data stores
Understanding of all aspects of database technologies – schema design, optimization, scalability, etc
Experience in sdlc, especially testing and deployment.
Understanding of different types of testing – unit, acceptance, regression, performance, etc.
Experience or understanding of test driven development (tdd) or pair programming desired
Knowledge of unix-like operating system environments
Software version control (e.gGit working knowledge or greater)
Experience contributing to open source software projects.
Desired:
Aws certification
