About the Role:

Grade Level (for internal use):

In this role, you’ll be at the heart of our data and product innovation, partnering closely with Product, Data Science, and cross-functional teams to build robust, production-ready data pipelines. You’ll take machine learning algorithms from raw data ingestion through transformation and seamless integration with our production databases. You’ll also collaborate with our broader Data organization to bring valuable external data into our Data Lake, expanding our analytical and operational capabilities. 
 
Team: The team is composed of highly skilled and supportive individuals, with each engineer contributing uniquely to serve our U.S.-based car dealers and manufacturers. The development team oversees and takes ownership of the entire system development life cycle.
 

What you will do:  

• Use the latest technology to build data pipelines and integrate machine learning models 

• Build and expand our data platform 

• Develop applications that run on a Google Cloud-based infrastructure
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Who you are:  

• 2+ years of experience in Big Data and Data Engineering, building enterprise-level applications in a public cloud, preferably Google Cloud   

• Experience building cloud-native data pipelines using Python, Apache Airflow, Apache Spark, and Apache Beam.  

• Working knowledge of SQL and data warehousing concepts, including PostgreSQL and BigQuery. Optionally, knowledge of Mongo and AlloyDB is a plus. 

• Comfortable using Azure DevOps or similar CI/CD tools, Git. 

• Experience with TDD, agile software development processes, and collaborating in multi-functional agile teams. 

• Communicate effectively with technical teams and non-technical stakeholders. 

Preferred Qualifications:

• Experience building Docker images and deploying them to a Production environment. Integrate Docker container orchestration framework using Kubernetes by creating pods, config Maps, and deployments using terraform. 

• Experience with C#, .NET core, and microservices. 
   

Compensation/Benefits Information (US Applicants Only):

• S&P Global states that the anticipated base salary range for this position is $69,661 to $125,000.  Final base salary for this role will be based on the individual’s geographical location as well as experience and qualifications for the role.

• In addition to base compensation, this role is eligible for an annual incentive plan.

• This role is eligible to receive additional S&P Global benefits. For more information on the benefits we provide to our employees, visit link https://spgbenefits.com/benefit-summaries/us

Expected Hours of Work:

This is a full-time position. Generally, work is performed Monday through Friday, though holidays and weekends may be required.  Currently our teams work 2 days per week in the office - subject to change in the future.

About automotiveMastermind:<