Manager – Data Engineering at S&P Global

Bengaluru, Karnataka, India

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Not SpecifiedCompensation

Mid-level (3 to 4 years), Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

Financial Services, Analytics, TechnologyIndustries

Requirements

7+ years of progressive data engineering experience, including a proven track record of leading teams and delivering complex data projects
Expertise in data architecture, data modeling, and building scalable ETL/ELT pipelines using technologies such as Python, Scala, SQL, and Apache Spark
Extensive hands-on experience with major cloud platforms (such as AWS, Azure, or GCP) and their associated data services
Experience with modern data practices including infrastructure as code (e.g., Terraform), CI/CD pipelines (e.g., GitLab CI), and data governance
Strong leadership and mentoring capabilities with a passion for building and developing high-performing teams
Excellent strategic thinking and problem-solving skills, with the ability to translate complex business requirements into robust technical solutions
Exceptional communication and stakeholder management skills, capable of partnering effectively with both technical and non-technical leaders

Responsibilities

Lead the modernization of data infrastructure and architecture to enable advanced analytics capabilities for commercial insights and customer analytics initiatives
Design and implement scalable data pipelines and ETL processes to support real-time and batch analytics across multiple data sources and business units
Collaborate with cross-functional teams including data scientists, analysts, and business stakeholders to translate business requirements into robust technical data solutions
Establish data governance frameworks and best practices to ensure data quality, security, and compliance across commercial analytics platforms
Evaluate and implement modern data technologies and cloud-based solutions to optimize performance, reduce costs, and enhance analytical capabilities
Drive automation initiatives to streamline data processing workflows and reduce manual intervention in data operations

Skills

Key technologies and capabilities for this role

Data EngineeringData InfrastructureData ArchitectureETLData PipelinesCloud TechnologiesAIAutomationData GovernanceScalable SystemsReal-time AnalyticsBatch Processing

Questions & Answers

Common questions about this position

What experience level is required for the Manager – Data Engineering role?

The role requires 7+ years of progressive data engineering experience, including a proven track record of leading teams and delivering complex data projects.

What technical skills are needed for this position?

Expertise in data architecture, data modeling, and building scalable ETL/ELT pipelines using Python, Scala, SQL, and Apache Spark is required, along with hands-on experience with cloud platforms like AWS, Azure, or GCP, infrastructure as code (Terraform), CI/CD pipelines (GitLab CI), and data governance.

Is this a remote position or does it require office work?

This information is not specified in the job description.

What is the salary or compensation for this role?

This information is not specified in the job description.

What leadership qualities are they looking for in candidates?

Strong leadership and mentoring capabilities with a passion for building and developing high-performing data engineering teams are essential.

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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