Full-Time

Lead Data Engineer

Big Data

Confirmed live in the last 24 hours

S&P Global

S&P Global

10,001+ employees

Provides financial information and analytics services

Data & Analytics
Financial Services

Compensation Overview

$97.5k - $195.8kAnnually

+ Annual Incentive Plan

Senior

Remote in USA

Role limited to persons with right to work in the United States.

Category
Data Engineering
Data & Analytics
Required Skills
Microsoft Azure
Agile
Python
React.js
Data Science
Tensorflow
Java
RDBMS
C#
AWS
Scala
Jenkins
Linux/Unix
AngularJS
Databricks
Requirements
  • BE, MCA or MS degree in Computer Science or Information Technology
  • 5+ years of hands-on experience in implementing data lake systems using AWS/Azure cloud technologies such as S3, Databricks, Hive, Large-scale data analytics tools & Scala, Python etc.
  • 3+ years of Expertise in building application using Data stream processing tools, Golden Gate etc. for building ingestion pipeline for Bulk and incremental data loads.
  • Strong expertise (preferable 5 yrs) in SDLC cycle including stakeholder management, people management, risk management, strategic management, communication management
  • Experience with development frameworks as well as data and integration technologies such Python, Scala
  • Experience in microservices and API design and implementation, with service-oriented architectures, SOAP and RESTful APIs
  • Hands-on experience in developing scalable data pipeline using technologies like Data stream processing tools, Databricks, Large-scale data analytics tools and Scala applying ETL and ELT concepts
  • Deep Experience with three or more technologies of Java/J2EE, C#, AWS, Large-scale data analytics tools, Python, Scala, any RDBMS, Data stream processing tools, Informatica, Angular/ReactJS, Databricks, Cloud-native orchestration tools
  • Experience with Continuous integration and deployment tools like Jenkins and Azure DevOps
  • Experience working in UNIX/Linux environment including shell scripting
  • Strong understanding of cloud native architectures, design patterns and best practices
  • Should be in position to articulate and convert requirements into solution.
  • Knowledgeable in technology and industry trends with ability to develop and present substantive technical solutions
  • Knowledge of Agile approaches to software development and able to put key Agile principles into practice to deliver solutions incrementally
  • Quality first mindset with a strong background and experience developing products for a global audience at scale
  • Excellent analytical thinking, interpersonal, oral, and written communication skills with strong ability to influence both IT and business partners
  • Experience With Machine Learning Libraries and Frameworks (TensorFlow, MLlib) is an added advantage
  • Ability to prioritize and manage work to critical project timelines in a fast-paced environment
  • Financial services industry experience
Responsibilities
  • Design & Build ingestion pipelines using ELT and schema on read in Databricks delta lake
  • Design & Develop “Transformations” aspects using ELT framework to modernize the Ingestion pipelines and build data transformations at scale
  • Provide technical expertise in the areas of design and implementation of Ratings Data Ingestion pipelines with modern AWS cloud and other technologies such as S3, Hive, Databricks, Scala, Python and Large-scale data analytics tools
  • Build and maintain a data environment for speed, accuracy, consistency and ‘up’ time
  • Work closely with other data teams & Data Science team and participate in development of Ingestion pipelines
  • Ensure data governance principles adopted, data quality checks and data lineage implemented in each hop of the data
  • Be in tune with emerging trends Big data and cloud technologies and participate in evaluation of new technologies
  • Ensure compliance through the adoption of enterprise standards and promotion of best practice / guiding principles aligned with organization standards

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 Global Market Intelligence, 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.

Company Stage

IPO

Total Funding

N/A

Headquarters

New York City, New York

Founded

1917

Growth & Insights
Headcount

6 month growth

16%

1 year growth

3%

2 year growth

16%
Simplify Jobs

Simplify's Take

What believers are saying

  • Growing demand for ESG data boosts S&P Global's market intelligence services.
  • Acquisition of Visible Alpha enhances S&P Global's investment research capabilities.
  • India Research Chapter positions S&P Global as a leader in India-focused economic research.

What critics are saying

  • Emerging fintech companies may erode S&P Global's market share.
  • Volatile energy markets could impact financial stability post-World Hydrogen Leaders acquisition.
  • Integration of Visible Alpha may face technical challenges, delaying benefits.

What makes S&P Global unique

  • S&P Global offers comprehensive financial intelligence and analytics services worldwide.
  • The company provides unique ESG solutions, enhancing sustainability-focused decision-making.
  • S&P Global's diverse divisions cater to various market needs, including credit ratings and indices.

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