S&P Global Hiring Apprentice For Data Quality | Apply Now

S&P Global Hiring Apprentice For Data Quality: Employing recent graduates for the Apprentice-Data Quality position. Applicants may apply if they hold a degree in information systems, computer science, data management, or a similar discipline. Below is a thorough explanation of the eligibility and application process.

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About S&P Global

S&P Global Inc. is a publicly traded company based in Manhattan, New York City. It was formerly known as McGraw Hill Financial, Inc. and The McGraw-Hill Companies, Inc. before April 2016. Analytics and financial data are its main business sectors. In addition to being the primary owner of the S&P Dow Jones Indices joint venture, it is the parent firm of S&P Global Ratings, S&P Global Market Intelligence, S&P Global Mobility, S&P Global Engineering Solutions, S&P Global Sustainable1, and S&P Global Commodity Insights. “Standard and Poor’s” is shortened to “S&P”.

S&P Global Hiring Apprentice For Data Quality Details

Job Role: Apprentice- Data Quality

Company Website: www.spglobal.com

Qualification: Graduate

Experience: Freshers/Experienced

Batch: Recent Batches

Salary: ₹4 to 9 LPA (Expected)

Location: Bangalore, India

Last Date: ASAP

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Roles & Responsibilities

Below are the Roles & Responsibilities –

• Help with routine data quality tasks, such as overseeing regulations, identifying irregularities, and arranging for problem solving.
• Work together with specialists to convert business requirements into standards for data quality and assist in resolving issues.
• Assist technical teams with the prioritization and configuration of data for quality monitoring and profiling.
• Examine the findings of the profiling process and help develop reusable custom data quality standards.
• Gather data, spot areas for development, and involve stakeholders by offering training and information exchange.

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Required Skills & Qualifications

Below are the Required Skills & Qualifications –

• A degree in information systems, computer science, data management, or a similar discipline.
• A fundamental knowledge of data management concepts and a keen interest in data quality techniques, such as automation, rule creation, and data profiling.
• It is advantageous to have experience with data quality tools such as soda.io or those similar (Great Expectations, Soda, Informatica IDQ, etc.).
• Proficiency with Python/PySpark for data analysis and automation, as well as a foundational understanding of SQL for data processing.
• Rudimentary understanding of Power BI for reporting and data visualization.

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How To Apply For S&P Global Hiring Apprentice For Data Quality

The link below will allow all interested and qualified applicants to apply online as soon as possible.

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