ML Data Engineer

Hyderabad, Telangana, India

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Not SpecifiedCompensation

Junior (1 to 2 years)Experience Level

Full TimeJob Type

UnknownVisa

Financial ServicesIndustries

Requirements

Candidates must possess 7+ years of programming experience, particularly in Python, and 4+ years of experience working with SQL or NoSQL databases, along with 1+ years of experience with Pyspark. A university degree in Computer Science, Engineering, Mathematics, or a related field is required, alongside a strong understanding of big data technologies like Hadoop, Spark, or Kafka. Demonstrated ability to design and implement end-to-end scalable and performant data pipelines, experience with workflow management platforms such as Airflow, and knowledge of Object-Oriented Programming (OOP) principles and design patterns are also necessary.

Responsibilities

The ML Data Engineer will work closely with stakeholders to collect, clean, model, and visualize datasets, creating data-driven insights by researching, designing, and implementing ML models to deliver solutions to complex business problems. They will drive ground-breaking ML technology within the Modelling and Data Science team, extract hidden value insights, enrich datasets, leverage technology to automate workflows, and understand, implement, manage, and maintain analytical solutions. The role involves collaborating with Data, content, and modelling teams, providing analytical assistance, driving and maintaining high-quality processes, and delivering projects within collaborative Agile team environments.

Skills

Python

SQL

NoSQL

PySpark

Hadoop

Spark

Kafka

Data Pipeline Design

Airflow

Object-Oriented Programming

Code Quality

Performance Optimization

Data Visualization

ML Modeling

Data Cleaning

Data Analysis

Collaboration

Agile

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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