13 days ago
Wrocław, PolandEntry Level
Responsibilities
- Design and implement Databricks data processing solutions for large-scale and diverse datasets.
- Build and enhance data pipelines using Python and cloud-native tools.
- Collaborate with solution architects to define and maintain data engineering best practices.
- Ensure data consistency, security, and scalability in cloud-based environments.
Requirements
- At least 1 year of hands-on Databricks experience.
- Strong experience using Python for automation and data transformation.
- Experience with at least one major cloud platform: AWS, Azure, or GCP.
- Strong communication skills and strong English language skills.
- Preferred qualifications include SQL query optimization, data modeling, DevOps, CI/CD pipelines, Terraform, Bicep, Kafka, Spark Streaming, Data Lake, Snowflake, Synapse, PySpark, and relevant Databricks or cloud data certifications.
Benefits
- Medical care with Medicover, private life insurance, and a Sports card.
- Access to Capgemini Helpline therapeutic support.
- More than 70 training tracks with certification opportunities.
- Access to Education First, Pluralsight, TED Talks, Coursera, and Udemy Business learning resources.
- Stable and supportive work environment recognized as a Top Employer Poland 2024.
- Opportunity to work with current cloud data and IT technologies for global enterprise clients.
Tech Stack
Categories
Data Engineering
About Capgemini
Capgemini is a global IT services and consulting firm that delivers strategy, cloud, AI, software engineering, and managed services to large enterprises and public-sector clients. Founded in 1967 and headquartered in Paris, it is publicly traded on Euronext Paris and operates in 50+ countries. The group expanded its engineering capabilities by acquiring Altran in 2020, now operating as Capgemini Engineering.