Google Data Engineer
2 weeks ago
Insights & Data is a global business line within Capgemini, dedicated to creating end-to-end Data & AI solutions. Our cross-functional team of experts in the Nordics includes over 800 industry and data specialists. We scale Data & Analytics in the Cloud through strategic partnerships with hyperscalers, niche, and innovation partners, including Google, AWS, Microsoft, Databricks, and Snowflake.
We work across various industries and foster a collaborative environment where your unique perspective matters. Join us in transforming industries by creating cutting-edge data solutions
As a Google Data Engineer, you'll be at the forefront of data technology. Your role involves working with the latest tools for data ingestion, ETL, and orchestrating data pipelines. Whether it's batch processing or real-time streaming data, you'll be responsible for ensuring data quality and reliability. At Capgemini, we offer a flexible work environment, but for this position, you are required to work on-site at least 50% of the time.
What You'll Do:- Design and Build: Create robust data pipelines using Google Cloud, BigQuery, Cloud Functions, and Dataform.
- Data Modeling: Develop effective data models that represent business entities and relationships.
- Collaborate: Work closely with ML and Data Science teams to enhance data transparency and drive strategic decision-making.
- Client Interaction: Engage with clients to understand their needs and develop optimal technical solutions, helping them become more data-driven.
- Wide Range of Projects: Gain exposure to various domains and technologies as Capgemini operates across diverse industries.
- Knowledge Sharing: Actively participate in knowledge sharing and skills development within specific areas of expertise (capability areas), where lessons learned and experiences are shared.
- Architecture Opportunities: If you're interested in architecture, we offer training and a supportive environment for your career development.
- Professional experience in Data Engineering and building pipelines.
- Experience with Google Cloud, including BigQuery, Cloud Functions, and Dataform.
- Strong knowledge of Python and SQL.
Additional experience that is advantageous but not required:
- Golang
- Spark
- Kafka
- AirFlow
- Terraform
We recognize the significance of flexible work arrangements to provide support. Be it remote work or flexible work hours, you will get an environment to maintain a healthy work-life balance. At the heart of our mission is your career growth. Our array of career growth programs and diverse professions are crafted to support you in exploring a world of opportunities. Equip yourself with valuable certifications in the latest technologies such as MS Fabrics, Databricks, or Snowflake.
APPLICATIONReady to Shape the Future of Data Engineering? Apply Now
ABOUT CAPGEMINICapgemini is a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world, while creating tangible impact for enterprises and society. It is a responsible and diverse group of 340,000 team members in more than 50 countries. With its strong over 55-year heritage, Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs. It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fueled by its market leading capabilities in AI, generative AI, cloud and data, combined with its deep industry expertise and partner ecosystem. The Group reported 2024 global revenues of €22.1 billion.
Ref. code: 174487
Posted on: Feb 21, 2025
Experience Level: Experienced Professionals
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