Job
Description
The Role: Design, develop and maintain Python-driven codebase of workflow automation platform including code underlying data integration read and write patterns for both internal as well as customer-facing cloud solutions. The individual will contribute as part of the Database Engineering team and work closely with IT architects, tech leads, business analysts and quality assurance specialists. The Impact: This is a hybrid role in-that it supports both grow-the-business [Project] as well as run-the-business [Lights-On] initiatives. The Career Opportunity: At S&P Global Commodity Insights, we provide the insights, and you make better informed trading and business decisions with confidence. Were 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 www.spglobal.com. S&P Global is an equal opportunity employer committed to making all employment decisions without regard to race/ethnicity, gender, 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 any other basis prohibited by federal, state or local law. Only electronic job submissions will be considered for employment. Responsibilities: Core Requirements: 3+ years of experience in the following areas: Python development and knowledge on Perl 1+ years of experience in SQL or other programming language Experience with data integration and application design and development Experience with cloud computing [AWS preferred] and distributed system deployments Experience in analyzing user requirements and translating/implementing into code Excellent verbal and written communication skills Strong organizational and problem-solving skills Experience with source code management practices and systems Experience with Agile as well as Waterfall development methodologies Preferred Skills Adept with SQL and shell scripting Knowledge of workflow automation and scheduling concepts and best practices-Autosys Ability to independently execute to Proof-of-Concepts targeting cloud-native managed services and features
