S&P Global is excited to announce an opportunity for fresh graduates to join us as an Apprentice in Data Quality for 2024. This role is open to candidates holding a degree in Data Management, Computer Science, Information Systems, or related disciplines.
Off-Campus Recruitment Details for S&P Global 2024
Job Title: Apprentice – Data Quality
Educational Background: Degree in Data Management, Computer Science, Information Systems, or a related field
Experience Level: Fresh Graduates
Eligible Batches: 2021, 2022, 2023, 2024, and 2025
Salary Range: ₹4 to 9 LPA (Expected)
Location: Bangalore
Application Deadline: As Soon As Possible
About the Role
S&P Global Commodity Insights is looking for candidates to join a 12-month Apprenticeship program within our Data Quality Team. This role provides essential exposure to data management practices, allowing apprentices to understand how data quality is upheld throughout its lifecycle. Responsibilities will include supporting initiatives aimed at maintaining and improving data quality, monitoring data, identifying discrepancies, and ensuring overall data integrity.
Team Overview:
The Data Quality Team, which falls under the Data Strategy and Governance Tower, focuses on maintaining data quality across multiple systems within the Commodity Insights organization This role will involve coordinating data quality initiatives, prioritizing validation tasks, and aligning with governance standards to maximize data reliability and value.
Impact of the Role
S&P Global Commodity Insights generates over 10,000 assessments daily for over 1,500 financial instruments, managing transactions exceeding $10 billion each day. We monitor more than 60,000 vessels and create over 1,000 reports weekly, making our data initiatives crucial to operational success.
Key Responsibilities This position offers deep insights into how data quality impacts decision-making across the business, highlighting the significance of accurate and reliable data.
- Assist with daily data quality operations, including managing rules and resolving anomalies.
- Collaborate with experts to convert business requirements into actionable data quality needs.
- Assist technical teams in prioritizing data for profiling and monitoring quality.
- Review profiling outcomes and contribute to developing reusable custom data quality rules.
- Track metrics, pinpoint improvement areas, and engage stakeholders through training and knowledge sharing.
What We’re Looking For
- A degree in Data Management, Computer Science, Information Systems, or a similar field.
- Basic understanding of data management principles with an interest in data quality practices like profiling and rule development.
- Familiarity with data quality tools such as soda.io or alternatives (e.g., Great Expectations, Informatica IDQ) is advantageous.
- Proficiency in SQL for data management and a foundational knowledge of Python/PySpark for data analysis and automation.
How to Apply
Interested candidates can apply online for the S&P Global Careers 2024. Follow these steps:
- Click on the “Apply here” button below to visit the official career page.
- Select “Apply.”
- If you haven’t registered yet, create an account.
- Log in and complete the application form with the required details.
- Submit relevant documents (e.g., resume, transcripts, ID proof) if requested.
- Ensure all information is accurate before submitting your application.
For any application-related issues, feel free to reach out in the comments section.