Descripción

Workplace Classification:

Hybrid: This position does not require an employee to be on-site full-time to perform most effectively. The employee’s role enables them to work at a GM facility or off-site as frequently as needed or desired. This position requires an employee to be onsite up to 3 times per week, with flexible schedule for periodic race weekend remote support.

GM Motorsports Software Engineering is looking to expand its motorsports data science and analytics group. GM Motorsports is currently racing in NASCAR, IndyCar, IMSA and is currently pursuing an entry into Formula 1.

The Team:

GM Motorsports offers one of the most storied programs in racing history across multiple race classes. Our software engineering team analyzes, defines, and delivers next generation groundbreaking Motorsports IT software solutions. Using both innovative cloud-based infrastructure and software development standards, these solutions enable collaboration with GM Global Engineering, GM Motorsports, and our Race teams that accelerate our drivers to the finish line first!

Our combined team of analysts, architects, developers, data engineers, testers, and project managers work with GM Motorsports Engineering and Race teams to ensure podium wins for GM’s NASCAR, IndyCar, and IMSA sportscar teams!

The Role:

As a Senior Data Engineer, you will build industrialized data assets and optimize data pipelines in support of Business Intelligence and Advance Analytic objectives. You will work closely with our forward-thinking Data Scientists, BI Developers, System Architects and Data Architects to deliver value to our vision for the future. Are you ready to join a future facing team?

What You'll Do (Responsibilities):

Communicates and maintains Master Data, Metadata, Data Management Repositories, Logical Data Models, Data Standards.
Create and maintain optimal data pipeline architecture.
Assemble large, complex data sets that meet functional / non-functional business requirements.
Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc.
Build industrialized analytic datasets and delivery mechanisms that utilize the data pipeline to deliver actionable insights into customer acquisition, operational efficiency and other key business performance metrics.
Work with business partners on data-related technical issues and develop requirements to support their data infrastructure needs.
Create highly consistent and accurate analytic datasets suitable for business intelligence and data scientist team members.

[Additional Description]

What You'll Need (Required Qualifications):

Bachelor's degree in Computer Science, Data Science, Statistics, Analytics, or relevant field
5 or more years experience with object-oriented/object function scripting languages: Python, Java, C++, Scala, etc.
At least 3 years of hands on experience with Big Data Tools: Hadoop, Spark, Kafka, etc.
You have mastery with databases - Advanced SQL and NoSQL databases, including Postgres and Cassandra
Data Wrangling and Preparation: Alteryx, Trifacta, SAS, Datameer
Stream-processing systems: Storm, Spark-Streaming, etc.
Ability to tackle problems quickly and completely
Ability to identify tasks which require automation and automate them
A demonstrable understanding of networking/distributed computing environment concepts
Ability to multi-task and stay organized in a dynamic work environment

Preferred Skills:

Data pipeline and workflow management tools: Azkaban, Luigi, Airflow, etc.
AWS cloud services: EC2, EMR, RDS, Redshift

GM DOES NOT PROVIDE IMMIGRATION-RELATED SPONSORSHIP FOR THIS ROLE. PLEASE DO NOT APPLY FOR THIS ROLE IF YOU WILL NEED GM IMMIGRATION SPONSORSHIP (e.g., H-1B, TN, STEM OPT, etc.) NOW OR IN THE FUTURE.

•This job may be eligible for relocation benefits.

#LI-DH2

Información sobre diversidad

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Declaración de igualdad de oportunidades en el empleo (EE.UU.)

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Adecuaciones (EE.UU. y Canadá)

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