Databricks Data Engineer: Cloud Data Pipelines & AI

Capgemini; Kraków; On-site; PLN 120,000 - 190,000; Full time

Benefits offered by this job

Medicover healthcare

Private life insurance

Sports card

Capgemini Helpline

Job summary

Capgemini Polska is hiring a Data Engineer to design and implement data processing solutions using Databricks for large-scale datasets. You will build data pipelines with Python and cloud-native tools, collaborating with solution architects to uphold data engineering best practices.

You should have at least 1 year of hands-on Databricks experience, strong Python skills, and experience with AWS, Azure, or GCP.

Qualifications

• At least 1 year of hands-on Databricks experience.
• Strong Python programming for automation and data transformation.
• Experience with at least one major cloud platform (AWS, Azure or GCP).
• Fluent English communication skills.

Responsibilities

• Design and implement data processing solutions using Databricks for large-scale datasets.
• Design and build data pipelines with Python and cloud-native tools.
• Collaborate with solution architects to uphold data engineering best practices.
• Ensure data consistency, security, and scalability in cloud environments.

Skills

Databricks

Python

Cloud platforms (AWS/Azure/GCP)

English proficiency

Tools

Databricks

Python

Job description

Capgemini Polska is hiring a Data Engineer to design and implement data processing solutions using Databricks for large-scale datasets. You will build data pipelines with Python and cloud-native tools, collaborating with solution architects to uphold data engineering best practices.

You should have at least 1 year of hands-on Databricks experience, strong Python skills, and experience with AWS, Azure, or GCP.