Data Engineer

Posted 2 Hours Ago
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Gurugram, Haryana, IND
In-Office
Mid level
Automotive • Big Data • Information Technology • Analytics
The Role
Build and support batch and streaming data ingestion pipelines, real-time monitoring and alerting systems, data warehouses, data lakes, marts, aggregations, metrics, and KPIs. Partner with product teams to define complex data sets, maintain data dictionaries and catalogs, document data assets, and generate actionable insights into product efficacy, marketing, customer behavior, and retention.
Summary Generated by Built In

The Team:

At Mobility Global, AutomotiveMastermind team provides U.S. automotive dealers with AI/behavior prediction analytics software and marketing solutions that improve the vehicle purchase process and results. The company’s cloud-based technology helps dealers precisely predict automobile-buying behavior and automates the creation of microtargeted customer communications, leading to proven higher sales and more consistent customer retention.

The Role:

Our proprietary software-as-a-service helps automotive dealerships and sales teams better understand and predict exactly which customers are ready to buy, the reasons why, and the key offers and incentives most likely to close the sale. Its micro-marketing engine then delivers the right message at the right time to those customers, ensuring higher conversion rates and a stronger ROI.

Responsibilities:

You will be part of our data platform & product insights data engineering team. As part of this agile team, you will work in our cloud native environment to

  • Build & support data ingestion and processing pipelines. This will entail extract, load and transform of ‘big data’ from a wide variety of sources, both batch & streaming, using latest data frameworks and technologies

  • Build real-time monitoring dashboards and alerting systems.

  • Partner with product to assemble large, complex data sets that meet functional / non-functional business requirements, ensure build out of Data Dictionaries/data catalog and detailed documentation and knowledge around these data assets, metrics and KPIs.

  • Warehouse this data, build data marts, data aggregations, metrics, KPIs, business logic that leads to actionable insights into our product efficacy, marking platform, customer behaviour, retention etc.

Required Skills:

  • Bachelors or Master's degree in Computer Science, Applied Mathematics or a related engineering discipline required.

  • 3 to 6 years of experience in Big Data and Data Engineering.

  • Strong knowledge of advanced SQL, data warehousing concepts, DataMart designing.

  • Having experience in in modern data platform components such as the Hadoop, Hive, Spark, Python, Scala, etc.

  • Experience with setting up and maintaining Data warehouse (Google BigQuery, Redshift, Snowflake) and Data Lakes (GCS, AWS S3 etc.) for an organization

  • Having strong experience in one of the Cloud providers – Azure, GCP, AWS.

  • Experience with relational SQL and NoSQL databases, including Postgres and Cassandra / MongoDB.

  • Experience with data pipeline and workflow management tools: Airflow, Dataflow, Dataproc etc.

  • Experience with Distributed Versioning Control environments such as GIT, Azure DevOps

  • Strong problem solving and communication skills.

Preferred Skills:

  • Exposure to any Business Intelligence (BI) tools like Tableau, Dundas, Power BI etc.

  • Agile software development methodologies.

  • Working in multi-functional, multi-location teams

Shift Timings: 12PM-9PM IST


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

  • Bachelor's or Master's degree in Computer Science, Applied Mathematics, or a related engineering discipline
  • 3 to 6 years of experience in Big Data and Data Engineering
  • Strong knowledge of advanced SQL, data warehousing concepts, and data mart design
  • Experience with Hadoop, Hive, Spark, Python, Scala, or similar modern data platform components
  • Experience setting up and maintaining data warehouses such as Google BigQuery, Redshift, or Snowflake
  • Experience setting up and maintaining data lakes such as GCS or AWS S3
  • Strong experience with at least one cloud provider: Azure, GCP, or AWS
  • Experience with relational and NoSQL databases, including Postgres and Cassandra or MongoDB
  • Experience with data pipeline and workflow management tools such as Airflow, Dataflow, or Dataproc
  • Experience with distributed version control environments such as Git or Azure DevOps
  • Strong problem-solving and communication skills
  • Exposure to business intelligence tools such as Tableau, Dundas, or Power BI
  • Experience with Agile software development methodologies
  • Experience working in multifunctional, multilocation teams
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The Company
3,500 Employees
Year Founded: 2026

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.

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