Databricks Data Engineer

Capgemini

Prague, CZ
On-site
Databricks expertise
Python for data transformation
Cloud platform experience (aws, azure, or gcp)
Design and implement data processing solutions using Databricks for large-scale and diverse datasets

Job Summary

  • Design and implement data processing solutions using Databricks for large-scale and diverse datasets.
  • Work closely with solution architects to define and uphold best practices in data engineering.
  • A supportive environment for continuous learning, including certifications and access to global expertise.

Matching Summary

Design and implement data processing solutions using Databricks for large-scale and diverse datasets.

Skills & Requirements

Must-have

  • Databricks expertise
  • Python for data transformation
  • Cloud platform experience (AWS, Azure, or GCP)

Nice-to-have

  • SQL query optimization
  • DevOps methodologies
  • Real-time data streaming
  • PySpark for distributed processing

Key Requirements

  • At least 1 year of Databricks expertise
  • Strong English language skills

Work Rights

Not specified

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