Automotive Mastermind provides a proprietary automated sales and marketing SaaS platform for dealerships based in the US. We empower dealers to close more deals by predicting future buyers and consistently marketing to them. In short, we help automotive dealerships generate success in their loyalty, service, and conquest portfolios through a combination of turnkey predictive analytics, proactive marketing and dedicated consultative services.
Responsibilities and Impact:
- Build and support data ingestion and processing pipelines, ensuring efficient extraction, loading, and transformation of big data from diverse sources.
- Assemble large, complex data sets that meet both functional and non-functional business requirements, collaborating closely with product teams.
- Contribute to the continuous improvement of our cloud-native environment and data frameworks, enhancing scalability and efficiency.
- Create real-time monitoring dashboards and alerting mechanisms to enhance data processing reliability and performance.
- Document data assets, metrics, and KPIs to ensure transparency and knowledge sharing within the team.
What We’re Looking For:
Basic Required Qualifications:
- Building enterprise-scale software using Python, Containerization technology , etc.
- Building ‘big data’ data pipelines with distributed frameworks
- Large-scale data analytics tools, Dataflow, etc., along with workflow automation & scheduling frameworks
- Assembling large and complex data sets that meet functional / non-functional business requirements, Data modeling & cataloging
- SQL & distributed NO-SQL datastores (DBA level) e.g. Postgres, BigQuery
- Agile software development, working in multi-functional multi-location teams.
If you like wild growth and working with happy, enthusiastic over-achievers, you'll enjoy your career with us!
It is the policy of Mobility to provide equal employment opportunity (EEO) to all persons regardless of age, color, national origin, citizenship status, physical or mental disability, race, religion, creed, gender, sex, sexual orientation, gender identity and/or expression, genetic information, marital status, status with regard to public assistance, veteran status, or any other characteristic protected by federal, state or local law. In addition, Mobility will provide reasonable accommodations for qualified individuals with disabilities.
Skills Required
- Experience building enterprise-scale software using Python and containerization technology
- Experience building big data pipelines with distributed frameworks
- Experience with large-scale data analytics tools, including Dataflow
- Experience with workflow automation and scheduling frameworks
- Experience assembling large and complex datasets to meet functional and non-functional business requirements
- Experience with data modeling and cataloging
- Expert-level SQL and distributed NoSQL datastore experience, including PostgreSQL or BigQuery
- Experience with Agile software development and cross-functional, multi-location teams
What We Do
Mobility Global is an independent automotive intelligence company, formerly S&P Global Mobility. It provides data, analytics, connected technologies, forecasts, and expertise to organizations and consumers across the vehicle lifecycle, helping them build, buy, sell, maintain, and understand vehicles. Its offerings support decisions involving demand, risk, supply chains, sales, marketing, ownership, sustainability, and broader automotive market strategy with confidence and clarity.
