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.

Benefits

GM offers a variety of health and wellbeing benefit programs.
Benefit options include medical, dental, vision, Health Savings Account, Flexible Spending Accounts, retirement savings plan, sickness and accident benefits, life insurance, paid vacation & holidays, tuition assistance programs, employee assistance program, GM vehicle discounts and more.

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

data engineeringPythonSQLApache SparkCI/CDautomated testinginfrastructure-as-codecloud architecturedata securityperformance optimization

Soft Skills

collaborationcommunicationproblem-solvingagile methodology