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Lead Data EngineerGeneral MotorsUnited States
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Lead Data Engineer

General Motors
  • US
    United States
  • US
    United States

À propos

Job Description We want to highlight that this position does not offer immigration-related sponsorship, so please only apply if you're eligible to work without any sponsorship needs. About the Role Are you ready to influence the future of data engineering? As a Lead Data Engineer, you'll play a crucial role in developing scalable, cloud-native data solutions that drive analytics and decision-making in a dynamic environment. In this pivotal position, you will design and construct robust data pipelines and enhance data assets, focusing significantly on CRM data integration and optimization to support key sales, loyalty, and marketing initiatives across our automotive sector. You will collaborate closely with Data Scientists, BI Developers, and Marketing and Sales Operations teams to deliver innovative data solutions aimed at boosting customer loyalty, enhancing lead conversion, optimizing targeted campaigns, and providing insightful program-level oversight. Leveraging cutting-edge technologies, such as Azure Databricks, you will facilitate advanced analytics concerning customer behavior, dealer interactions, vehicle purchasing trends, and campaign effectiveness—contributing to the evolution of automotive retail and marketing. We are seeking a seasoned Data Engineer who is excited about developing scalable solutions and applying contemporary development and DevOps practices within data engineering workflows, with extensive experience in Azure and Databricks environments. What You'll Do Design, develop, and optimize data pipelines and workflows utilizing Databricks and Azure Data Services.
Implement best practices for data engineering, including CI/CD, automated testing, and infrastructure-as-code.
Work collaboratively with cross-functional teams to deliver dependable and secure data solutions.
Promote modern DevOps practices across the data engineering lifecycle.
Ensure data quality, governance, and compliance throughout all solutions.
Your Skills & Abilities (Required Qualifications) 7+ years of experience in Data Engineering.
Proven expertise with Databricks and Azure technologies (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 related to data engineering.
Solid understanding of cloud architecture, data security, and performance optimization.
Ability to thrive in an agile environment and deliver solutions at scale.
What Will Give You an Edge (Preferred Qualifications) Familiarity with infrastructure automation tools (Terraform, ARM templates).
Experience with Salesforce CRM, CRM-A, and Data Cloud.
Knowledge of data governance frameworks and compliance standards.
Experience creating visualizations with Power BI or Tableau.
Compensation:
The salary range for this role is $153,200 to $269,100. The final offer will be based on various factors relevant to the position. Bonus Potential: Eligibility for an incentive pay program, dependent on company, job level, and individual performance.
Benefits:
GM provides a variety of health and wellness benefit programs, including medical, dental, vision, Health Savings Account, retirement plans, paid vacation, and vehicle discounts. This role is categorized as hybrid, meaning you are expected to report in-person at least three times per week. Relocation benefits may also be available. About GM Our vision is a world with Zero Crashes, Zero Emissions, and Zero Congestion. We embrace the responsibility to drive positive change for a better, safer, and more equitable future. Why Join Us We encourage every employee to contribute to meaningful change every day. We want everyone to feel they belong to the General Motors family. General Motors is committed to being an equal opportunity employer and fostering an inclusive environment. We encourage candidates from various backgrounds to apply.
  • United States

Compétences linguistiques

  • English
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