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. 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 in cloud. This will entail extraction, load and transformation of 'big data' from a wide variety of sources, both batch & streaming, using latest data frameworks and technologies

Partner with product team to assemble large, complex data sets that meet functional and non-functional business requirements, ensure build out of Data Dictionaries/Data Catalogue 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, marketing platform, customer behaviour, retention etc.

Build real-time monitoring dashboards and alerting systems.

6+ years of experience in Big Data and Data Engineering.

- Strong knowledge of advanced SQL, data warehousing concepts and DataMart designing.
- Have strong programming skills in SQL, Python/ PySpark etc.
- Experience in design and development of data pipeline, ETL/ELT process on-premises/cloud.
- Experience in one of the Cloud providers – GCP, Azure, AWS.
- Experience with relational SQL and NoSQL databases, including Postgres and MongoDB.
- Experience workflow management tools: Airflow, AWS data pipeline, Google Cloud Composer etc.
- Experience with Distributed Versioning Control environments such as GIT, Azure DevOps
- Building Docker images and fetch/promote and deploy to Production. Integrate Docker container orchestration framework using Kubernetes by creating pods, config Maps, deployments using terraform.
- Bachelors or an advanced degree in Computer Science or related engineering discipline.

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

Agile software development methodologies.

Hybrid Model: twice a week work from office

Shift Time:



12 pm to 9 pm IST

Work Life Balance. Employee Assistance Program. Diversity & Inclusion. Founded in 2012, automotiveMastermind is a leading provider of predictive analytics and marketing automation solutions for the automotive industry and believes that technology can transform data, revealing key customer insights to accurately predict automotive sales. Through its proprietary automated sales and marketing platform, Mastermind, the company empowers dealers to close more deals by predicting future buyers and consistently marketing to them. automotiveMastermind is headquartered in Current York City. Our cultural values of 'Drive' and 'Help' have been at the core of what we do, and how we have built our culture through the years. Through our proprietary automated sales and marketing platform, Mastermind, 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.

Information, imagination, people, technology–the right combination can unlock possibility and change the world.

We push past expected observations and seek out new levels of understanding so that we can help companies, governments and individuals make an impact on tomorrow. At S&P; Global we transform data into Essential Intelligence®, pinpointing risks and opening possibilities. We're more than 35,000 strong worldwide—so we're able to understand nuances while having a broad perspective. Our team is driven by curiosity and a shared belief that Essential Intelligence can help build a more prosperous future for us all.





From finding new ways to measure sustainability to analyzing energy transition across the supply chain to building workflow solutions that make it easy to tap into insight and apply it. We're committed to a more equitable future and to helping our customers find new, sustainable ways of doing business. Join us and help create the critical insights that truly make a difference.

Throughout our history, the world's leading organizations have relied on us for the Essential Intelligence they need to make confident decisions about the road ahead. We start with a foundation of integrity in all we do, bring a spirit of discovery to our work, and collaborate in close partnership with each other and our customers to achieve shared goals.

Health & Wellness: Health care coverage designed for the mind and body.

Flexible Downtime: Generous time off helps keep you energized for your time on.

Invest in Your Future: Secure your financial future through competitive pay, retirement planning, a continuing education program with a company-matched student loan contribution, and financial wellness programs.

Beyond the Basics: From retail discounts to referral incentive awards—small perks can make a big difference.

At S&P; Global, we are committed to fostering a connected and engaged workplace where all individuals have access to opportunities based on their skills, experience, and contributions. Our hiring practices emphasize fairness, transparency, and merit, ensuring that we attract and retain top talent. S&P; Global is an equal opportunity employer and all qualified candidates will receive consideration for employment without regard to race/ethnicity, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, marital status, military veteran status, unemployment status, or any other status protected by law. If you need an accommodation during the application process due to a disability, please send an email to:[HIDDEN TEXT]and your request will be forwarded to the appropriate person.

20 - Qualified (EEO-2 Job Categories-United States of America), IFTECH202.1 - Middle Professional Tier I (EEO Job Group), SWP Priority – Ratings - (Strategic Workforce Planning)

📌 Senior Data Engineer - AWS, DevOps (Gurugram)
🏢 automotiveMastermind
📍 Gurugram