Company: S&P Global
Role: Associate Data Engineer
Experience: 1–3 years of relevant experience
Location: Bangalore (Hybrid)
About S&P Global:
S&P Global is a global leader in providing Essential Intelligence. With over 35,000 employees worldwide, we are committed to delivering sustainable insights and solutions that drive progress. From transforming data into decisions to building tools that help businesses navigate today’s complex challenges, our mission is to shape a more equitable and innovative future.
About the Team:
You’ll join the Automotive Insights – Supply Chain and Technology and IMR department. This team focuses on delivering critical intelligence for the global automotive sector by analyzing supply chains, logistics, market trends, and technological innovations. If you’re passionate about working on impactful projects in a collaborative and data-driven environment, this is the place for you.
Key Responsibilities:
- Build and maintain automated data pipelines (ETL) for collecting and transforming data from online sources.
- Develop efficient web scraping tools using Python libraries such as BeautifulSoup, Selenium, or Scrapy.
- Implement and manage DevOps practices for machine learning workflow deployment and monitoring.
- Collaborate with data scientists to ensure data is structured, clean, and ready for advanced analytics.
- Conduct data quality checks and resolve issues in existing pipelines.
- Contribute to improving internal data standards and stay up to date with new tools and practices in data engineering.
Required Qualifications:
- Bachelor’s degree in Computer Science, Engineering, or related fields.
- 1–3 years of experience in data engineering, ETL, or web scraping with Python.
- Familiarity with Python and its data handling libraries (Pandas, BeautifulSoup, Selenium, Scrapy).
- Exposure to DevOps workflows and CI/CD pipelines.
- Knowledge of Docker and cloud platforms (AWS preferred).
Soft Skills We Value:
- Strong analytical thinking and problem-solving ability.
- Clear communication and effective collaboration in a team setting.
- Self-motivated, organized, and able to manage multiple tasks.
- Curiosity and eagerness to learn new tools and technologies.
How to Apply:
Apply directly through the official S&P Global careers portal here:
https://careers.spglobal.com/jobs/317963