Job Title: Data Engineer – Automotive Research
Job ID: 314772
Location: Gurgaon, India; Bangalore, India (Hybrid)
Employment Type: Full-Time
Experience: 1–2 years
Salary: As per Industry Standards
Qualification: Bachelor’s or Master’s degree in Computer Science, Data Engineering, or a related field
Certifications (if any): Cloud certifications in AWS, Azure, or GCP are advantageous
About Us
S&P Global is a global leader in delivering essential intelligence that drives growth and innovation. With a workforce of over 35,000 professionals around the world, we combine data, technology, and human insight to deliver solutions that help companies, governments, and individuals make informed decisions. Our division, S&P Global Mobility, delivers cutting-edge insights and analytics for the rapidly evolving automotive sector. We provide our clients with data-driven solutions that help them navigate complexity, anticipate trends, and shape the future of mobility.
At S&P Global Mobility, our mission is to power progress by transforming automotive data into actionable intelligence. We support clients in making strategic decisions through insights based on vehicle and powertrain forecasts, sustainability trends, and technological disruptions. Our work environment is driven by curiosity, collaboration, and continuous innovation. Joining us means becoming part of a team that values integrity, diversity, and the relentless pursuit of excellence.
🔥 Don’t Miss
Design and implement scalable data pipelines for ingesting and processing large volumes of structured and unstructured automotive data
Develop a robust data factory to automate the ingestion and refresh of core datasets that feed forecasting models
Ensure data integrity through implementation of validation and quality assurance processes across data workflows
Collaborate with analysts to translate business needs into technical data models
Assist machine learning engineers and data scientists with clean, structured data for modeling purposes
Work on enhancing existing data infrastructure to support new client-facing features and analytical capabilities
Optimize data workflows and storage strategies for cloud environments
Research and evaluate new tools and technologies to improve performance and scalability of the data ecosystem
Participate in planning and development of mathematical models for vehicle and powertrain forecasting
Document data workflows, architectural decisions, and ETL logic for internal teams and stakeholders
Required Skills
1 to 2 years of hands-on experience in data engineering or ETL development
Expertise in writing efficient SQL queries and working with relational (PostgreSQL, MySQL) and non-relational databases (MongoDB, Cassandra)
Strong Python programming skills with proven experience using data libraries like Pandas, NumPy, and PySpark
Good understanding of cloud computing platforms including AWS, Microsoft Azure, or Google Cloud Platform
Experience in designing data pipelines, data lakes, and batch or real-time data processing systems
Familiarity with version control tools such as Git and experience working in collaborative code environments
Solid understanding of data governance, validation rules, and security compliance practices
Ability to analyze complex datasets and troubleshoot data issues independently
Excellent communication skills with a strong ability to work in cross-functional teams
A growth mindset and eagerness to stay updated with emerging technologies in data engineering
Preferred Skills
Experience working in the automotive sector or familiarity with automotive datasets
Knowledge of orchestration frameworks such as Apache Airflow or Luigi
Exposure to containerization technologies such as Docker and Kubernetes
Familiarity with data warehouse and data lake platforms like Snowflake, Redshift, or BigQuery
Prior experience working with streaming data tools like Apache Kafka or Spark Streaming
Understanding of MLOps practices and experience supporting machine learning teams
Experience working with REST APIs and third-party data integrations
Exposure to data visualization tools like Tableau, Power BI, or D3.js for internal reporting
Strong mathematical foundation with exposure to modeling techniques
Experience in building dashboards for internal analytics and business teams
Perks & Benefits
Competitive salary packages aligned with industry standards
Comprehensive health and wellness plans including medical, dental, and vision coverage
Generous paid time off, flexible working arrangements, and hybrid work options
Global exposure through collaboration with diverse international teams
Continuing education programs, certifications, and mentorship opportunities
Parental leave, childcare support, and family-friendly benefits
Retirement planning resources and company-matched student loan contributions
Access to employee recognition programs, learning portals, and career pathing tools
Inclusive and respectful workplace that values work-life balance
Perks such as wellness discounts, referral bonuses, and exclusive learning summits
Why Join Us?
S&P Global is not just a workplace—it’s a platform to make an impact. By joining our Data Engineering team, you’ll directly contribute to developing systems that support cutting-edge forecasting models in the automotive sector. You will collaborate with thought leaders, work on critical data infrastructure, and play a key role in shaping the future of mobility. We are a purpose-driven organization that believes in investing in people. Our commitment to diversity, equity, and innovation creates an environment where every employee is empowered to grow, contribute, and succeed.
Whether you’re passionate about data architecture, forecasting tools, or solving complex technical problems, S&P Global Mobility offers you the tools, mentorship, and platform to build a meaningful career. Be part of a team that powers decision-making at the highest levels of industry and government. We believe in the potential of our people—and we invest in your journey every step of the way.
