Data Transformation Engineer
hace 3 semanas
Grade Level (for internal use): 09
The Team:
The Forecast Ops team within the Analytics Enablement group drives innovation and efficiency gains for economic forecasting processes. The team creates data pipelines, designs automated processes, and assists forecast product teams with improving their procedures.
Responsibilities and Impact:
- Develop and maintain Python and EViews scripts to clean, enrich, and transform time-series data related to economic and industry information.
- Design and implement automated data pipelines to ensure the efficient processing and integration of large datasets.
- 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.
- Troubleshoot and resolve data-related issues, implementing improvements to enhance data processing efficiency.
- Document processes, methodologies, and best practices for data transformation and automation.
- Stay up-to-date with industry trends and advancements in data engineering and automation technologies.
What We’re Looking For:
Basic Required Qualifications:
- 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.
- Experience with data cleaning, transformation, and enrichment processes.
- Excellent problem-solving skills and attention to detail.
- Ability to work independently and collaboratively in a fast-paced environment.
- Strong communication skills to effectively interact with team members and stakeholders.
Additional Preferred Qualifications:
- Experience with other data processing and automation tools and languages, such as R, or other statistical software commonly used for economic time-series analysis, such as SPSS, SAS, or MATLAB.
- Familiarity with economic and industry time-series data.
- Knowledge of data visualization techniques and tools.
- Understanding of database management systems and SQL.
About S&P Global Market Intelligence:
At S&P Global Market Intelligence, a division of S&P Global, we understand the importance of accurate, deep, and insightful information. 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.
What’s In It For You?
Our Purpose: Progress is not a self-starter. It requires a catalyst to be set in motion. Information, imagination, people, technology–the right combination can unlock possibility and change the world.
Our People: We're more than 35,000 strong worldwide—so we're able to understand nuances while having a broad perspective. Our team is driven by curiosity and a shared belief that Essential Intelligence can help build a more prosperous future for us all.
Our Values: Integrity, Discovery, Partnership
Benefits:
- Health & Wellness: Health care coverage designed for the mind and body.
- Flexible Downtime: Generous time off helps keep you energized for your time on.
- Continuous Learning: Access a wealth of resources to grow your career and learn valuable new skills.
- Invest in Your Future: Secure your financial future through competitive pay, retirement planning, a continuing education program with a company-matched student loan contribution, and financial wellness programs.
- Family Friendly Perks: It’s not just about you. S&P Global has perks for your partners and little ones, too, with some best-in-class benefits for families.
- Beyond the Basics: From retail discounts to referral incentive awards—small perks can make a big difference.
Diversity, Equity, and Inclusion at S&P Global: At S&P Global, we believe diversity fuels creative insights, equity unlocks opportunity, and inclusion drives growth and innovation – Powering Global Markets. Our commitment centers on our global workforce, ensuring that our people are empowered to bring their whole selves to work.
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.
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