Data Engineer

Capgemini•New York, NY

19h•Onsite

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.

Requirements

Total years of data engineering experience 5 to 7 years with relevant GCP experience of 1 years
Experience in Data Engineering ETL Pipelines Batch and Streaming along with SQL Python PySpark UnixLinux and Data Warehousing concepts
Experience in GCP native services like BigQuery Composer GCS Dataflow etc
Experience in Data Migration along with Data Quality and Data Governance
Experience of working in an Agile Scrum KANBAN Environment

Responsibilities

Experience in Data Engineering ETL Pipelines Batch and Streaming along with SQL Python PySpark UnixLinux and Data Warehousing concepts
Experience in GCP native services like BigQuery Composer GCS Dataflow etc
Experience in Data Migration along with Data Quality and Data Governance
Experience of working in an Agile Scrum KANBAN Environment
Participate proactively in standup meetings scrum ceremonies grooming sessions team retrospectives and suggest improvements
Articulate and facilitate conversations with business owners and delivery teams
Detailed understanding of Continuous Integration and Continuous Deployment Test Automation and Deployments
Document and prioritize data and pipeline defects working closely with defect management teams for resolution
Status reporting Project Risk Issue Management Business stakeholder reviews approvals of deliverables