GCP Data Engineer - Python

Capgemini•Columbia, SC

3d•Hybrid

About The Position

Choosing Capgemini means choosing a company where you will be empowered to shape your career in the way you’d like, where you’ll be supported and inspired by a collaborative community of colleagues around the world, and where you’ll be able to reimagine what’s possible. Join us and help the world’s leading organizations unlock the value of technology and build a more sustainable, more inclusive world. The primary focus is to help organizations design, develop, and optimize their data infrastructure and systems. They help organizations enhance data processes, and leverage data effectively to drive business outcomes.

Requirements

Good understanding Python programming
Exposure to GCP services such as IAM KMS GCS BigQuery BigLake Bigtable Cloud Composer GKE Cloud SQL Cloud Functions Data Catalog Dataplex Dataproc and Dataflow
Familiarity with Git for version control
Clear understanding of CICD concepts
Strong problem solving and debugging skills
Troubleshoot provisioning issues related to IAM permissions API enablement quotas state management dependencies or resource conflicts

Responsibilities

Build scalable data pipelines
Grow in distributed data processing and cloud technologies
Design, develop, and optimize data infrastructure and systems
Enhance data processes
Leverage data effectively to drive business outcomes
Optimize logging and monitoring configurations to balance observability cost efficiency and operational performance

Benefits

Flexible work
Healthcare including dental, vision, mental health, and well-being programs
Financial well-being programs such as 401(k) and Employee Share Ownership Plan
Paid time off and paid holidays
Paid parental leave
Family building benefits like adoption assistance, surrogacy, and cryopreservation
Social well-being benefits like subsidized back-up child/elder care and tutoring
Mentoring, coaching and learning programs
Employee Resource Groups
Disaster Relief