Data Engineer(GCP)
Tech Stack / Keywords
Firma i stanowisko
Capgemini is an AI-powered global business and technology transformation partner with nearly 60 years of heritage and over 420,000 team members across more than 50 countries. They deliver end-to-end services and solutions leveraging AI, technology, design, engineering, and business operations, with 2025 global revenues of €22.5 billion. The Insights & Data team specializes in Cloud & Big Data engineering, developing robust systems for processing extensive datasets using cloud platforms such as AWS, Azure, and GCP, and delivering data via APIs, interfaces, reports, and dashboards. Their AI Center of Excellence focuses on Data Science and Machine Learning projects including Generative AI, Natural Language Processing (NLP), Anomaly Detection, and Computer Vision.
Wymagania
- Strong SQL and programming skills in Python and Scala.
- Experience with BigQuery, Cloud Storage, Dataflow, and Airflow.
- Understanding of data modeling and distributed systems.
- Google Cloud Data Engineer certification (preferred).
Obowiązki
- Build and optimize data pipelines (ETL/ELT) on Google Cloud.
- Develop data lakes and warehouses using BigQuery and cloud-native services.
- Ensure data quality, security, and performance.
- Collaborate with architects and analytics teams.
- Automate deployments using CI/CD and infrastructure-as-code practices.
Benefity
- Medical care with Medicover.
- Private life insurance.
- Multisport card.
- Access to Capgemini Helpline offering therapeutic support.
- Educational podcast 'Let's talk about wellbeing'.
- Access to over 70 training tracks with certification opportunities (e.g., GenAI, Excel, Business Analysis, Project Management) on the NEXT platform.
- Free access to Education First languages platform, Pluralsight, TED Talks, Coursera, and Udemy Business materials and trainings.
- Continuous feedback and ongoing performance discussions via the GetSuccess performance management tool.
- Hybrid working model combining modern office work and ergonomic work from home with a home office package (including laptop, monitor, and chair).
Capgemini
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