Senior Data Engineer

Capgemini•New York, NY

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. Data engineers are responsible for building reliable and scalable data infrastructure that enables organizations to derive meaningful insights, make data-driven decisions, and unlock the value of their data assets. The involves leading and managing a team of data engineers, overseeing data engineering projects, ensuring technical excellence, and fostering collaboration with stakeholders. They play a critical role in driving the success of data engineering initiatives and ensuring the delivery of reliable and high quality data solutions to support the organizations data driven objectives.

Requirements

GCP Big Query & Teradata experience
Agile best practices
Scrum ceremonies facilitation
Data pipelines, ETL processes, and analytics solutions delivery
Impediment removal
Dependency management
Continuous improvement
Team productivity enhancement
Sprint planning, tracking, and reporting
Agile mindset adoption

Responsibilities

Lead Agile delivery for data engineering teams involving GCP Big Query & Teradata, facilitating Scrum ceremonies and ensuring adherence to Agile best practices.
Collaborate with data engineers, architects, and product owners to plan and deliver data pipelines, ETL processes, and analytics solutions.
Remove impediments, manage dependencies, and promote continuous improvement and team productivity.
Ensure transparency through sprint planning, tracking, and reporting of progress and risks.
Drive Agile mindset adoption while supporting high-quality, scalable, and timely data solutions.