Databricks Platform Engineer: Scalable Data Pipelines

CLEEVEN; Basel; On-site; CHF 90,000 - 120,000; Full time

Job summary

CLEEVEN, a consulting company in Switzerland, is seeking a Databricks Data Platform Engineer to enhance the industrialization and scalability of its data platform. This role involves designing robust data pipelines, collaborating with multiple teams, and contributing to the platform's optimization for production readiness.

The ideal candidate will have strong experience with Databricks, Spark, and cloud environments. Proficiency in data governance and performance optimization are highly valued.

Qualifications

• Strong hands-on experience with Databricks.
• Solid experience in data engineering and cloud-based data platforms.
• Good knowledge of Spark, PySpark and SQL.
• Experience with Delta Lake or lakehouse architecture.

Responsibilities

• Contribute to the industrialization of the Databricks platform.
• Design, develop and optimize scalable data pipelines.
• Support deployment practices, documentation and platform standards.

Skills

Databricks

Spark

PySpark

SQL

Data Engineering

Cloud Environments

CI/CD

DevOps Practices

Data Governance

Job description

CLEEVEN, a consulting company in Switzerland, is seeking a Databricks Data Platform Engineer to enhance the industrialization and scalability of its data platform. This role involves designing robust data pipelines, collaborating with multiple teams, and contributing to the platform's optimization for production readiness.

The ideal candidate will have strong experience with Databricks, Spark, and cloud environments. Proficiency in data governance and performance optimization are highly valued.