Data Engineer specializing in Databricks at Sogeti implementing large-scale data processing solutions. Collaborating with Data Scientists and optimizing ETL processes for data engineering best practices.
Responsibilities
Design and deploy high-performance data pipelines on Databricks
Manage data ingestion through to making data available to business teams
Model and structure data
Ensure data quality, availability, and optimal usability
Optimize ETL/ELT processes and the performance of Spark workflows
Collaborate closely with Data Scientists, Product Owners, and business teams
Understand their needs and deliver relevant solutions
Contribute to the continuous improvement of best practices in Data Engineering, Cloud, and CI/CD
Requirements
Engineering degree
At least 3 years of experience in Data Engineering
Proven hands-on experience with Databricks or Spark
Proficiency with Cloud environments (Azure, AWS, or GCP)
Version control (Git)
DevOps practices (CI/CD, Docker)
Strong SQL skills
Data modeling
Team player
Technical curiosity
Desire to work on innovative projects
Benefits
Remote work (up to 70%)
Professional equality policy
Parental benefits
Work-life balance
Sustainable mobility
Technical certifications and on-demand training
Personalized support with your career manager
9-month onboarding program
Employee share ownership plan
PERCOL
Attractive employee benefits with discounted rates (travel, concerts, cinema tickets...)
Partial holiday reimbursement
Reimbursement of your sports or cultural membership
Personal development (driving license training, pastry classes, nutrition...)
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