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Insights & Data is a thriving team of over 400 professionals focused on delivering advanced data-driven solutions. The team specializes in cloud and big data engineering, building scalable architectures for large and complex datasets across AWS, Azure, and GCP.
Your role
- Design and implement data processing solutions using Databricks for large-scale and diverse datasets.
- Design, build, and enhance data pipelines with Python and cloud-native tools.
- Work closely with solution architects to define and uphold best practices in data engineering.
- Ensure data consistency, security, and scalability within cloud-based environments.
Your profile
- Strong experience in data engineering, with at least 1 year of hands-on Databricks expertise.
- Strong experience in Python for automation and data transformation.
- Experience working with at least one major cloud platform: AWS, Azure, or GCP.
- Strong communication skills and strong English language skills.
Nice to have
- Solid understanding of SQL with experience in query optimization and data modeling.
- Familiarity with DevOps methodologies, CI/CD pipelines, and Infrastructure as Code, including Terraform or Bicep.
- Experience with real-time data streaming technologies such as Kafka or Spark Streaming.
- Knowledge of cloud storage solutions such as Data Lake, Snowflake, or Synapse.
- Hands-on experience with PySpark for distributed data processing.
- Relevant Databricks or cloud-based data certifications.
What you'll love about working here
- A supportive environment for continuous learning, including certifications and access to global expertise.
- Flexible work culture based on trust, hybrid options, relaxed hours, and a focus on results.
- Opportunities to contribute to social impact initiatives such as Impact Together Week.
- Employee perks including meal vouchers, a Multisport card, a birthday day off, free office gym access, and monthly company breakfasts.
Capgemini is an equal opportunity employer committed to equality and dignity in recruitment and employment.