S&P Global Recruitment 2025 Hiring Associate Data Engineer

S&P Global Recruitment 2025 Hiring Associate Data Engineer

S&P Global, a leading provider of financial information, analytics, and market intelligence, has announced its Recruitment Drive 2025 to hire talented individuals for the role of Associate Data Engineer. This is an excellent opportunity for recent graduates and early-career professionals with a passion for data engineering, cloud technologies, and big data platforms. As an Associate Data Engineer at S&P Global, you will work with advanced data pipelines, optimize data workflows, and contribute to data-driven decision-making in a global financial ecosystem. If you have experience or interest in Python, SQL, AWS, or Spark, and want to grow your career in the financial technology space, apply now for this exciting opportunity.

Company Name: S&P Global

Job Profile: Associate Data Engineer

Degree Needed: B.E/B.Tech

Passout Year: 2024, 2025

Work Location: Gurugram, India

Experience Level: 0 – 2 Years

Job Description:

The Data Engineer role will work closely with a team of business analysts, data scientists and software developers to design, provision and implement data solutions to assist our business in setting up systems for data driven growth. Overall, this position will strive for efficiency by aligning data systems with the organization’s business goals. 

Qualifications:

• Bachelor’s degree in Information Technology, Computer Engineering
• Bachelor of Technology
• Entry level position / 0-1 year of experience in data engineering
• Strong problem-solving and analytical thinking capabilities
• Excellent interpersonal and communication skills
• Eager learner
• Must be legally authorized to work in India for any employer without sponsorship
• Must be fluent in English and Hindi (written and spoken)
• Successful completion of interview required to meet job qualification
• Reliable, punctual attendance is an essential function of the position

Preferred Qualifications:

• 2+ year of experience in data engineering
• Python, SQL, Spark
• AWS

Job Responsibilities:

• Gather and organize data from various sources to build data systems and pipelines using Big Data & cloud technologies like AWS Glue, S3, Athena, Lambda, Spark, Redshift
• Combine raw information from different sources including but not limited to on-prem/cloud RDBMS, files & API’s based data providers
• Evaluate business requirements and objectives for a given use case implementation
• Explore ways to enhance data quality and reliability to ensure a standardized data layer is being created on the data lake in AWS. Make use of deequ framework to create a DQ layer
• Conduct data analysis and report on results in a clear and effective manner to business analysts

This position is offered on local terms and conditions.  Expatriate assignments and sponsorship for employment visas, even on a time-limited visa status, will not be awarded.

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