Overview
- Interpret business requirements and translate them into deployable solution
- Provide estimates for the user stories assigned and complete the development within timelines
- Prepare LLD and document the implemented solution
- Adhere to coding standards and best practices laid out by Technical Implementation Standards
- Unit testing the output of their own work and work along with QA team to fix defects
- Works in close cooperation with Automation design and Technical Architect
- Provides estimates for the user stories
- Documents the implemented solution
Job Description
- Hands-on and deep experience working with Google Data Products (e. g. Big Query, Dataflow, Looker, Cloud Data Fusion, Dataprep, etc. ) and Terraform.
- Develop, test, and deploy GCP infrastructure automations using Terraform
- Define New services using Google Cloud functions
- At least 2-3 years of experience in Terraform.
- Basic overview of Nodejs/Python/Jason to develop scripts and automation for Cloud
- Experience using version control and CD/CI tools (e. g GitLab, Jenkins).
- Should have hands on foundational concepts such as: Variables & Data Types, Data Structure, Exception Handling, File Handling
- Proven working experience in implementing large distributed & scalable solutions
- Good working experience in implementation and test of Open API’s - REST APIs and Design Patterns
- Proven problem solving and innovation abilities
Excellent communication skills (in an international distributed team) and capacity to learn and work independently
Skills & Requirements
Primary Skills - Big Query and data engineering services, Cloud function,
Terraform/Python, GCP Cloud Developer
Secondary Skills - AWS
Cloud Developer - GCP