Lead Quality Engineer - Data Distribution at S&P Global

Hyderabad, Telangana, India

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Not SpecifiedCompensation

Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

Financial Services, TechnologyIndustries

Requirements

Strong focus on test automation
Core Java and/or Python
Experience with AWS and GCP
Experience with testing of backend services or data platforms
Familiarity with Snowflake, Databricks, Redshift, or BigQuery
Solid understanding of API testing and data transformation validation
High attention to detail and a quality-focused mindset
Strong communicator and team collaborator
Able to work independently in a fast-paced, cross-functional team
Able to analyse complex issues and develop effective solutions

Responsibilities

Develop and implement test strategies for core services and data pipelines
Build and execute functional, integration, and regression tests on cloud-native systems
Create reusable test suites to validate data integrity, schema changes, and metadata flows
Work closely with developers and stakeholders to ensure platform stability
Continuously improve test coverage and optimize test execution time
Test APIs and services related to onboarding, data ingestion, and data shares
Validate data consistency from source system (core components) through to cloud warehouses
Integrate tests into CI/CD pipelines

Skills

Java

Python

AWS

GCP

Snowflake

Redshift

Databricks

BigQuery

API testing

CI/CD

test automation

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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