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Associate Data Engineer

S&P Global delivers essential intelligence that powers decision making, providing data, technologies and expertise to help businesses, governments and individuals adapt to changing economic landscapes.
Data
Entry-Level Software Engineer
Hybrid
5,000+ Employees
1+ year of experience
Finance · Automotive

Description For Associate Data Engineer

S&P Global is seeking an Associate Data Engineer to join their Automotive Insights team in Bangalore. This role sits at the intersection of data engineering and automotive industry analysis, focusing on supply chain and technology insights. The position offers an opportunity to build and maintain data pipelines, implement web scraping solutions, and work with cutting-edge technologies in a global organization.

The ideal candidate will have 1-3 years of experience in data engineering, with strong Python skills and familiarity with modern data tools and cloud platforms. You'll be responsible for developing automated data pipelines, implementing DevOps practices, and ensuring high-quality data delivery for analytics and modeling.

S&P Global offers a comprehensive benefits package including healthcare, continuous learning opportunities, and financial planning support. The company's culture emphasizes integrity, discovery, and partnership, with a strong focus on powering global markets through essential intelligence.

This is an excellent opportunity for an early-career data engineer to work with a leading financial intelligence company, contribute to meaningful projects in the automotive sector, and develop expertise in both technical and business domains. The hybrid work arrangement in Bangalore offers flexibility while maintaining collaborative opportunities with the global team.

Last updated 2 days ago

Responsibilities For Associate Data Engineer

  • Develop and maintain automated data pipelines to extract, transform, and load data from diverse online sources
  • Build, optimize, and document web scraping tools using Python and related libraries
  • Implement DevOps practices for deploying, monitoring, and maintaining machine learning workflows
  • Collaborate with data scientists and analysts to deliver reliable data for analytics
  • Perform data quality checks and troubleshoot pipeline issues
  • Stay current with advancements in data engineering, DevOps, and web scraping technologies

Requirements For Associate Data Engineer

Python
  • Bachelor's degree in computer science, Engineering, or a related field
  • 1 to 3 years of hands-on experience in data engineering
  • Proficiency with Python programming and libraries such as Pandas, BeautifulSoup, Selenium, or Scrapy
  • Exposure to implementing and maintaining DevOps workflows
  • Familiarity with containerization technologies (e.g., Docker) and CI/CD pipelines
  • Familiarity with cloud platforms (preferably AWS)
  • Strong analytical and problem-solving skills
  • Excellent communication and collaboration abilities
  • Ability to work independently and manage multiple priorities

Benefits For Associate Data Engineer

Medical Insurance
Dental Insurance
Vision Insurance
401k
Education Budget
Mental Health Assistance
Parental Leave
  • Health care coverage
  • Generous time off
  • Continuous learning resources
  • Retirement planning
  • Company-matched student loan contribution
  • Financial wellness programs
  • Family friendly benefits
  • Retail discounts
  • Referral incentive awards

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