Data Transformation Engineer

hace 3 semanas


Ciudad de México, Ciudad de México S&P Global A tiempo completo
About the Role:
S&P Global Market Intelligence is seeking a talented Data Transformation Engineer to join our team, driving innovation and efficiency gains for economic forecasting processes. The successful candidate will be responsible for developing and maintaining scripts in Python and EViews to clean and enrich time-series data related to economic and industry information.

Key Responsibilities:
• Develop and maintain Python and EViews scripts to automate data processing workflows efficiently.
• Collaborate with data analysts, economists, and other stakeholders to understand data requirements and deliver accurate and timely data solutions.
• Monitor and optimize the performance of data pipelines, ensuring data integrity and quality.

Requirements:
• Bachelor's degree in Computer Science, Data Science, Economics, or a related field.
• Strong proficiency in software used for data processing and automation, preferably Python and EViews.
• Solid understanding of time-series data and related statistical techniques.

About S&P Global:
S&P Global is a leading provider of critical insights and information to the world's most influential decision-makers. Our team of experts delivers unrivaled insights and leading data and technology solutions, partnering with customers to expand their perspective, operate with confidence, and make decisions with conviction.

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