Senior Data Engineer at General Motors

Warren, Michigan, United States

General Motors Logo
Not SpecifiedCompensation
Senior (5 to 8 years)Experience Level
Full TimeJob Type
UnknownVisa
AutomotiveIndustries

Requirements

  • At least 3 years of hands-on experience with Big Data Tools: Hadoop, Spark, Kafka, etc
  • 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
  • 7 or more years with object-oriented/object function scripting languages: Python, Java, C++, Scala, etc
  • Ability to tackle problems quickly and completely
  • Ability to identify tasks which require automation and automate them
  • Demonstrable understanding of networking/distributed computing environment concepts
  • Ability to multi-task and stay organized in a dynamic work environment
  • Preferred Qualifications
  • Data pipeline and workflow management tools: Azkaban, Luigi, Airflow, etc
  • AWS cloud services: EC2, EMR, RDS, Redshift

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

Skills

Hadoop
Spark
Kafka
SQL
NoSQL
Postgres
Cassandra
Alteryx
Trifacta
SAS
Datameer
Storm
Spark-Streaming
Python
Java
C++
Scala

General Motors

Designs, manufactures, and sells vehicles

About General Motors

General Motors designs, manufactures, and sells vehicles and vehicle parts, catering to individual consumers, businesses, and government entities. The company operates in both traditional internal combustion engine vehicles and the growing electric vehicle (EV) market, generating revenue through vehicle sales and financing services. GM stands out from competitors with its commitment to community service, sustainability, and diversity, as evidenced by a majority female Board of Directors. The company's goal is to balance traditional automotive manufacturing with technological advancements in electric and autonomous vehicles.

Detroit, MichiganHeadquarters
1908Year Founded
$486.7MTotal Funding
IPOCompany Stage
Automotive & Transportation, Financial ServicesIndustries
10,001+Employees

Benefits

Paid Vacation
Paid Sick Leave
Paid Holidays
Parental Leave
Health Insurance
Dental Insurance
Vision Insurance
Life Insurance
401(k) Company Match
401(k) Retirement Plan
Tuition Reimbursement
Student Loan Assistance
Flexible Work Hours
Discount on GM vehicles

Risks

Shutting down Cruise Robotaxi may affect investor confidence in GM's AV strategy.
Chevrolet Equinox EV recall could harm GM's safety reputation.
Leadership transition in design may disrupt continuity and brand identity.

Differentiation

GM's Dynamic Fuel Management system enhances fuel efficiency in traditional vehicles.
GM leads in board diversity with 55% women directors.
GM's pivot to personal autonomous vehicles aligns with consumer trends.

Upsides

Partnership with Nvidia boosts GM's autonomous vehicle technology capabilities.
Collaboration with ChargePoint expands EV charging infrastructure, enhancing consumer appeal.
Bryan Nesbitt's appointment as design head may bring innovation to GM's vehicle design.

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