Senior Data Engineer (GCP)
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SeniorFull-time·Umowa o pracę
#284440·Dodano 6 miesięcy temu·69
Źródło: CapgeminiTech Stack / Keywords
CloudBig DataGCPAzureAWSSoftware DevelopmentSDLCDevOps
Firma i stanowisko
Capgemini is a global business and technology transformation partner with nearly 60 years of heritage, employing over 420,000 people in more than 50 countries. The Insights & Data team consists of over 400 professionals specialized in Cloud & Big Data engineering, delivering scalable data solutions across GCP, Azure, and AWS.
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 over 70 training tracks with certification opportunities (e.g., GenAI, Excel, Business Analysis, Project Management) via 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 supported by a performance management tool (GetSuccess).
- Hybrid working model with home office package including laptop, monitor, and chair.
Opieka zdrowotna
Ubezpieczenie
Karta sportowa
Szkolenia wewnętrzne
Budżet konferencyjny
Dofinansowanie szkoleń
Elastyczne godziny
Inne informacje
Capgemini is committed to diversity and inclusion, ensuring fairness in all employment practices by evaluating individuals based on qualifications and performance, not personal characteristics.
Capgemini
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