Engineer III, Software Development at S&P Global

Gurugram, Haryana, India

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Not SpecifiedCompensation

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

Full TimeJob Type

UnknownVisa

Technology, AutomotiveIndustries

Requirements

6 to 8 years of experience in Big Data and Data Engineering
Strong knowledge of advanced SQL, data warehousing concepts and DataMart designing
Strong programming skills in SQL, Python etc
Experience in design and development of data pipeline, ETL/ELT process on-premises/cloud
Experience in one of the Cloud providers – GCP, Azure, AWS
Experience with relational SQL and NoSQL databases, including Postgres
Experience workflow management tools: AWS data pipeline, Google Cloud Composer etc
Experience with Distributed Versioning Control environments such as GIT, Azure DevOps
Building Docker images and fetch/promote and deploy to Production. Integrate Docker container orchestration framework, config Maps, deployments using terraform
Should be able to convert business queries into technical documentation
Strong problem solving and communication skills
Bachelors or an advanced degree in Computer Science or related engineering discipline
Good to have some exposure to Exposure to any Business Intelligence (BI) tools like Tableau, Dundas, Power BI etc
Good to have some exposure to Agile software development methodologies
Good to have some exposure to Working in multi-functional, multi-location teams

Responsibilities

Build & support data ingestion and processing pipelines in cloud. This will entail extraction, load and transformation of ‘big data’ from a wide variety of sources, both batch & streaming, using latest data frameworks and technologies
Partner with product team to assemble large, complex data sets that meet functional and non-functional business requirements, ensure build out of Data Dictionaries/Data Catalogue and detailed documentation and knowledge around these data assets, metrics and KPIs
Warehouse this data, build data marts, data aggregations, metrics, KPIs, business logic that leads to actionable insights into our product efficacy, marketing platform, customer behaviour, retention etc
Build real-time monitoring dashboards and alerting systems
Coach and mentor other team members

Skills

Key technologies and capabilities for this role

SQLPythonETLELTData PipelineData WarehousingDataMartGCPAzureAWSPostgresNoSQLGoogle Cloud ComposerAWS Data Pipeline

Questions & Answers

Common questions about this position

What is the work location and arrangement for this role?

The position is located in Gurugram with a hybrid model requiring twice a week work from office. Shift time is 12 pm to 9 pm IST.

What experience level is required for this position?

The role requires 6 to 8 years of experience in Big Data and Data Engineering.

What key technical skills are needed for this Engineer III role?

Candidates need strong knowledge of advanced SQL, data warehousing concepts, DataMart designing, programming skills in SQL and Python, experience with cloud providers like GCP, Azure, AWS, and relational/NoSQL databases including Postgres.

What does the team structure look like for this position?

You will be part of the Data Platform & Product Insights data engineering team, an agile team working in a cloud native environment, with opportunities to coach and mentor other team members.

What is the salary or compensation for this role?

This information is not specified in the job description.

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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