Databricks Data Engineer: Cloud Pipelines & AI Innovation

Capgemini; Województwo wielkopolskie; Presencial; PLN 120 000 - 180 000; Tempo integral

Vantagens oferecidas por esta oferta de emprego

Medicover health care

Private life insurance

Sports card

Capgemini Helpline

Wellbeing podcast access

Resumo da oferta

Capgemini Poland is seeking 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, and collaborate with solution architects to uphold best practices in data engineering within a cloud environment.

The role requires 1+ year of hands-on Databricks experience, Python proficiency, and experience with AWS, Azure, or GCP.

Qualificações

• Strong experience in data engineering.
• Proficiency in Python for automation and data transformation.
• Hands-on Databricks expertise (1 year+).
• Experience with at least one cloud platform (AWS/Azure/GCP).
• Strong English communication skills.

Responsabilidades

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

Conhecimentos

Data engineering

Python

Databricks

PySpark

Cloud platforms

English

Ferramentas

Databricks

PySpark

Terraform

Bicep

Descrição da oferta de emprego

Capgemini Poland is seeking 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, and collaborate with solution architects to uphold best practices in data engineering within a cloud environment.

The role requires 1+ year of hands-on Databricks experience, Python proficiency, and experience with AWS, Azure, or GCP.