Data Engineer / Modelling Analyst at S&P Global

Mexico City, Mexico City, Mexico

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Not SpecifiedCompensation

Mid-level (3 to 4 years)Experience Level

Full TimeJob Type

UnknownVisa

Financial ServicesIndustries

Requirements

7+ years of programming experience particularly in Python
4+ years of experience working with SQL or NoSQL databases
University degree in Computer Science, Engineering, Mathematics, or related disciplines
Strong understanding of big data technologies such as Hadoop, Spark, or Kafka
Demonstrated ability to design and implement end-to-end scalable and performant data pipelines
Experience with workflow management platforms like Airflow
Strong analytical and problem-solving skills
Ability to collaborate and communicate effectively with both technical and non-technical stakeholders
Experience building solutions and working in the Agile working environment
Experience working with git or other source control tools
Machine learning/Data Science experience

Responsibilities

To collaborate with stakeholders, including data scientists, analysts, and other engineers, to understand and refine requirements related to data processing and transformation needs
To design, construct, install, and maintain large-scale processing systems and other infrastructure
To build high-performance algorithms, prototypes, and conceptual models and enable the efficient retrieval and analysis of data
To implement ETL processes to acquire, validate, and process incoming data from diverse sources
To ensure data architecture and model adhere to compliance, privacy, and security standards
To work in conjunction with data scientists to optimize data science and machine learning algorithms and models
To provide technical expertise in the resolution of data-related issues, including data quality, data lineage, and data processing errors
To manage the deployment of analytics solutions into production and maintain them
To maintain high-quality processes and deliver projects in collaborative Agile team environments

Skills

ETL

Data Pipelines

Data Processing

Data Architecture

Machine Learning

Data Quality

Data Lineage

Scalable Systems

Data Modeling

S&P Global

Provides financial information and analytics services

About S&P Global

S&P Global provides financial information and analytics to a wide range of clients, including investors, corporations, and governments. The company offers services such as credit ratings, market intelligence, and indices, which help clients understand and navigate the global financial market. S&P Global's products work by utilizing advanced data analytics and research to deliver insights that assist clients in making informed decisions and managing risks. Unlike many competitors, S&P Global has a diverse range of divisions, including S&P Global Ratings and S&P Dow Jones Indices, which allows it to cater to various financial needs. The company's goal is to support clients in driving growth while also committing to corporate responsibility and positive societal impact.

New York City, New YorkHeadquarters

1917Year Founded

IPOCompany Stage

Data & Analytics, Financial ServicesIndustries

10,001+Employees

Benefits

Health Insurance

Unlimited Paid Time Off

Professional Development Budget

401(k) Company Match

Family Planning Benefits

Employee Discounts

Risks

Integration challenges with new acquisitions like ProntoNLP may cause operational issues.

Increased competition from AI-driven platforms like Brooklyn Investment Group.

Dependence on volatile credit ratings market could impact revenue stability.

Differentiation

S&P Global integrates advanced AI tools for superior financial analytics capabilities.

The company offers comprehensive ESG solutions, meeting growing sustainability demands.

S&P Global's diverse divisions provide a wide range of financial services globally.

Upsides

Acquisition of ProntoNLP boosts data analytics and sentiment scoring capabilities.

Rising demand for ESG data enhances S&P Global's market position.

Expansion into India strengthens S&P Global's research and insights offerings.

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