S&P Global

S&P Global Commodity Insights

The Role: Sr. Automation Specialist I (Python)

Grade: 08

The Location: Ahmedabad

The Team: The Data Sourcing and Normalization group works to collect and manage market fundamental datasets related to the energy and commodities industry through a variety of processes that combine analytical and technical skills. This role is responsible for the data collection, content verification, quality control and relevant analysis to support content and products. Industry knowledge combined with analytical acumen is applied to independently identify and resolve data integrity issues on a daily basis.

The Impact: This role is the foundation of the products delivered. The data collected is the base for the company as it feeds into the products, platforms, and is used for analysis by other teams within the company.

What’s in it for you:

• IronPython/Python, SQL/Database and AWS Cloud services experience and growth
• Opportunity to work with a globally operating team
• Solve complex, non-routine problems and determine the best solution through accurate analysis
• Being part of Data Sourcing is a nationally recognized business intelligence provider. Commodity Insights division provides information to a broad range of customers including large multinational corporations and small companies.

Responsibilities:

• Accountable for ensuring timely and accurate collection and databased storage. This includes hands on coding ensuring data collected is proofed to source, handling daily exceptions (changes to source data, process errors, and verifying suspect data), applying industry best practices, and tracking to operational metrics.
• Accountable for analyzing new assignments, developing scripts and tests to validate data, handling change requests and providing quick and efficient solutions to data sourcing issues.
• Responsible for migrating existing automation scripts from another programing language to Python framework.
• Responsible for creating requirements, metadata, backup procedures, and process documentation, and overall management of dataset addition process.
• Works with technology, Quantitative, and Editorial teams to ensure that content is delivered on-time, regardless of system issues, and that the format and structure supports the business need.
• Is responsible for following up on exceptions and outliers associated with specific datasets. This may include via industry contacts, 3rd party verification, additional research, and modeling or related analyses.
• Maintains ongoing metrics on data quality, time management, and cost monitoring associated to be used across all Information Intelligence Services group.
• Writes data queries for internal use as required.
• Completes one-time data pulls from database as requested.

What We’re Looking For:

• Total 2-3 years of experience.
• Python or IronPython development experience or experience creating scripts for automated data collection and Data scraping.
• Hands-on testing background with the depth of knowledge of Web automation and debugging
• Demonstrated experience in working with users to test, debug and document systems
• Experience with relational database: Preferably SQL Server, Oracle database, PostgreSQL
• Experience in working with large datasets
• Experience working in an Agile environment
• Complex problem-solving aptitude
• Enthusiastic/self-motivated with ability to work under pressure either independently or in a team environment
• Ability to use organizational/time management skills to prioritize workload
• Experience on AWS Cloud services is highly preferred
• Knowledge on datasets related to Energy industry is preferred

Basic Qualifications: Bachelor’s degree in Information Technology, Computer Information Systems, Computer Engineering, Computer Science, or other technical discipline

About S&P Global Commodity Insights

At S&P Global Commodity Insights, we provide the insights; you make better informed trading and business decisions with confidence. We’re the leading independent provider of information and benchmark prices for the commodities and energy markets. Customers in over 150 countries look to our expertise in news, pricing and analytics to deliver greater transparency and efficiency to markets. S&P Global Commodity Insights coverage includes oil and gas, power, petrochemicals, metals, agriculture and shipping.

S&P Global Commodity Insights is a division of S&P Global (NYSE: SPGI), which provides essential intelligence for individuals, companies and governments to make decisions with confidence. For more information, visit https://www.spglobal.com/commodityinsights/en.

S&P Global is an equal opportunity employer committed to making all employment decisions without regard to race/ethnicity, sex, pregnancy, gender identity or expression, color, creed, religion, national origin, age, disability, marital status (including domestic partnerships and civil unions), sexual orientation, military veteran status, unemployment status, or other legally protected categories, subject to applicable law.

Equal Opportunity Employer

S&P Global is an equal opportunity employer and all qualified candidates will receive consideration for employment without regard to race/ethnicity, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, marital status, military veteran status, unemployment status, or any other status protected by law. Only electronic job submissions will be considered for employment. 

If you need an accommodation during the application process due to a disability, please send an email to: EEO.Compliance@spglobal.com and your request will be forwarded to the appropriate person.  

US Candidates Only: The EEO is the Law Poster http://www.dol.gov/ofccp/regs/compliance/posters/pdf/eeopost.pdf describes discrimination protections under federal law. 

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