Senior Data Engineer
Posted 2 months ago Expired
This job has expired
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Upload Your ResumeAbout This Role
This role involves shaping the future of data engineering by building scalable, cloud-native data solutions for modern analytics and decision-making. The Senior Data Engineer will focus on integrating and optimizing CRM data to support sales, loyalty, and marketing initiatives across the automotive business.
Responsibilities
- Design, develop, and optimize data pipelines and workflows using Databricks and Azure Data Services
- Implement best practices for data engineering, including CI/CD, automated testing, and infrastructure-as-code
- Collaborate with cross-functional teams to deliver high-quality, reliable, and secure data solutions
- Drive adoption of modern DevOps practices within the data engineering lifecycle
- Ensure data quality, governance, and compliance across all solutions
Requirements
- 7+ Years Data Engineering Experience
- Proven experience working with Databricks and Azure (Data Factory, Data Lake, Synapse, etc.)
- Strong proficiency in Python, SQL, Apache Spark, and distributed data processing frameworks
- Hands-on experience with CI/CD pipelines, Git, and DevOps tools for data engineering
- Solid understanding of cloud architecture, data security, and performance optimization
- Ability to work in an agile environment and deliver solutions at scale
Qualifications
- 7+ Years Data Engineering Experience
Nice to Have
- Familiarity with infrastructure automation (Terraform, ARM templates)
- Salesforce CRM, CRM-A, Data Cloud experience
- Knowledge of data governance frameworks and compliance standards
- Implemented visualizations with Power-BI or Tableau
Skills
* Required skills
Benefits
About General Motors
The AI Validation Platform team owns the cloud-agnostic, reliable, and cost-efficient platform that powers GM’s AV efforts, supporting the simulated validation of state-of-the-art (SOTA) machine learning models.