GCP Data Engineer

The requirement is for the candidates to be able to independently work on and assist in GCP projects across the organization wherein on-premise applications would be migrated onto Google Cloud platform and work as an individual contributor.

Manage communication with client, independently drive and deliver application modules.

Good experience on Google Cloud Platform, Cloud Storage, Big Query,Dataflow,Dataproc,Composer,Python,Pyspark ,Terraform, GitHub and data pipeline development. Handson experience ingesting source files ( csv/jsons/xmls) as source to GCP.

Must have worked on GCP real-time implementations(Migration project exposure)

Candidate should also have good understanding of data landscape and should be able to understand end to end architecture. Having exposure to Banking domain is a plus.

Roles & Responsibilities

• Perform complex day-to-day development for GCP cloud environment.

• Develop, maintain, and tune highly complex scripts using Python and Big Query.

• Managing and designing solutions related to Data Engineering, Data Analysis, Data modelling, Data Warehouse, Data security, ETL

• CI/CD Implementation of cloud solutions.

• Automation of Infrastructure deployment using Terraform and GitHub Actions.

• Develop analytical functionality and complex transformation that will be finally deployed in production data-platforms.

• Excellent Communication & Stakeholder management skills.

• Should be able to recommend implementation best practices and suggest improvements for an existing application