Apply for S&P Global Off Campus Drive 2025! Hiring Associate Data Engineer Job in Bangalore (1-3 years). Build web scraping pipelines with Python, AWS, DevOps. Competitive salary for BE/BTech graduates passionate about automotive insights.
Candidates who are interested in S&P Global Off Campus Drive Job Openings can go through the below to get more information.
Key Job details of Associate Data Engineer job
Company: S&P Global
Qualifications: BE/BTech
Experience Needed: 1-3 years
Job Req ID: 317963
Location: Bangalore
Job Description
The Automotive Insights – Supply Chain and Technology and IMR department at S&P Global is dedicated to delivering critical intelligence and comprehensive analysis of the automotive industry’s supply chain and technology. Our team provides actionable insights and data-driven solutions that empower clients to navigate the complexities of the automotive ecosystem, from manufacturing and logistics to technological innovations and market dynamics. We collaborate closely with industry stakeholders to ensure our research supports strategic decision-making and drives growth within the automotive sector. Join us to be at the forefront of transforming the automotive landscape with cutting-edge insights and expertise.
Responsibilities and Impact
- Develop and maintain automated data pipelines to extract, transform, and load data from diverse online sources, ensuring high data quality.
- Build, optimize, and document web scraping tools using Python and related libraries to support ongoing research and analytics.
- Implement DevOps practices for deploying, monitoring, and maintaining machine learning workflows in production environments.
- Collaborate with data scientists and analysts to deliver reliable, well-structured data for analytics and modeling.
- Perform data quality checks, troubleshoot pipeline issues, and ensure alignment with internal taxonomies and standards.
- Stay current with advancements in data engineering, DevOps, and web scraping technologies, contributing to team knowledge and best practices.
Basic Required Qualifications
- Bachelor’s degree in computer science, Engineering, or a related field.
- 1 to 3 years of hands-on experience in data engineering, including web scraping and ETL pipeline development using Python.
- Proficiency with Python programming and libraries such as Pandas, BeautifulSoup, Selenium, or Scrapy.
- Exposure to implementing and maintaining DevOps workflows, including model deployment and monitoring.
- Familiarity with containerization technologies (e.g., Docker) and CI/CD pipelines for data and ML workflows.
- Familiarity with the cloud platforms (preferably AWS).
Key Soft Skills
- Strong analytical and problem-solving skills, with attention to detail.
- Excellent communication and collaboration abilities for effective teamwork.
- Ability to work independently and manage multiple priorities.
- Curiosity and a proactive approach to learning and applying new technologies.
Apply Now for S&P Global Associate Data Engineer Job
How to Apply S&P Global Off Campus Drive 2025
Click on Apply to Official Link S&P Global Above – You will go to the Company Official site
First of all Check, Experience Needed, Description and Skills Required Carefully.
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Interview Questions
- Can you describe your experience building ETL pipelines with Python?
- How have you used web scraping tools like BeautifulSoup or Scrapy in projects?
- What is your approach to ensuring data quality in automated pipelines?
- Can you share an example of troubleshooting a DevOps or pipeline issue?
- How do you implement CI/CD practices for machine learning workflows?
- What experience do you have with AWS or other cloud platforms?
- How do you collaborate with data scientists to support analytics needs?
- Can you explain a time you optimized a web scraping process?
- What strategies do you use to stay updated with data engineering trends?
- How do you manage multiple priorities in a fast-paced team environment?
