Position Details
About this role
This role involves designing and building scalable, cloud-native data pipelines using Azure and Databricks to support analytics and decision-making in a fast-paced automotive environment.
Key Responsibilities
- Design data pipelines
- Implement best practices for data engineering
- Collaborate with cross-functional teams
- Drive DevOps adoption
- Ensure data quality and governance
Technical Overview
The technical environment includes Azure Data Services, Databricks, Python, SQL, Apache Spark, CI/CD pipelines, and DevOps practices, with a focus on data governance and CRM integration.
Ideal Candidate
The ideal candidate is a senior data engineer with over 7 years of experience in cloud-native data solutions, particularly with Azure and Databricks. They possess strong programming skills in Python and SQL, and have a solid understanding of data governance and DevOps practices in a hybrid environment.
Must-Have Skills
Nice-to-Have Skills
Tools & Platforms
Required Skills
Hard Skills
Soft Skills
Industry & Role
Keywords for Your Resume
Deal Breakers
Less than 7 years of data engineering experience, Lack of experience with Azure Databricks or Azure Data Services, No experience with CI/CD or DevOps tools, Inability to work in a hybrid environment, No experience with CRM data integration
Get matched to jobs like this
Luna finds roles that fit your skills and career goals — no endless scrolling required.
Create a Free Profile