Big Data Engineer Lead

Sp Global, Inc.
New York, United States of America
1 month ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English
Experience level
Senior
Compensation
$ 202K

Job location

New York, United States of America

Tech stack

Java
Agile Methodologies
Artificial Intelligence
Amazon Web Services (AWS)
Amazon Web Services (AWS)
Amazon Web Services (AWS)
Architectural Patterns
Big Data
Cloud Computing
Data as a Services
Data Governance
Data Integration
Distributed Systems
Hadoop
Python
Machine Learning
TensorFlow
Scala
Software Engineering
Talend
Feature Engineering
PyTorch
Spark
Amazon Web Services (AWS)
Data Lake
Scikit Learn
Information Technology
Data Lineage
Apache Flink
Apache Nifi
Data Management
Route53
Functional Programming
Cloudwatch
Data Pipelines
Software Library
Programming Languages

Job description

Grade Level (for internal use): 12

The Team:

You will be an expert contributor and part of the Rating Organization's Data Services Team. This team, who has a broad and expert knowledge on Ratings organization's critical data domains, technology stacks and architectural patterns, fosters knowledge sharing and collaboration that results in a unified strategy. All Data Services team members provide leadership, innovation, timely delivery, and the ability to articulate business value. Be a part of a unique opportunity to build and evolve S&P Ratings next gen analytics platform., * Design and develop efficient and scalable data pipelines between enterprise systems and analytics platform

  • Work closely with Data Science team and participate in development of feature engineering pipelines
  • Provide technical expertise in the areas of design and implementation of Ratings Integrated Data Facility with modern AWS cloud technologies such as S3, Redshift, EMR, and distributed computing frameworks
  • Build and maintain a data environment for speed, accuracy, consistency and 'up' time
  • Support analytics by building a world-class data lake environment that empowers analysts to determine insights into revenue and power products across the organization
  • Work with the machine learning engineering team to build a data eco system that supports AI products at scale
  • Ensure data governance principles adopted, data quality checks and data lineage implemented in each hop of the data
  • Partner with the chief data office, enterprise architecture organization to ensure best use of standards for the key data domains and use cases
  • Be in tune with emerging trends in 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, At S&P Global, we are committed to fostering a connected and engaged workplace where all individuals have access to opportunities based on their skills, experience, and contributions. Our hiring practices emphasize fairness, transparency, and merit, ensuring that we attract and retain top talent. By valuing different perspectives and promoting a culture of respect and collaboration, we drive innovation and power global markets.

S&P Global has a Securities Disclosure and Trading Policy ("the Policy") that seeks to mitigate conflicts of interest by monitoring and placing restrictions on personal securities holding and trading. The Policy is designed to promote compliance with global regulations. In some Divisions, pursuant to the Policy's requirements, candidates at S&P Global may be asked to disclose securities holdings. Some roles may include a trading prohibition and remediation of positions when there is an effective or potential conflict of interest. Employment at S&P Global is contingent upon compliance with the Policy.

Recruitment Fraud Alert:

If you receive an email from a spglobalind.com domain or any other regionally based domains, it is a scam and should be reported to reportfraud@spglobal.com. S&P Global never requires any candidate to pay money for job applications, interviews, offer letters, "pre-employment training" or for equipment/delivery of equipment. Stay informed and protect yourself from recruitment fraud by reviewing our guidelines, fraudulent domains, and how to report suspicious activity here.

Requirements

  • BS or MS degree in Computer Science or Information Technology
  • 8+ years of experience as data engineer at an innovative organization
  • 4+ years of hands-on experience in implementing data lake systems using AWS cloud technologies such as S3, Redshift, EMR, and distributed computing frameworks (such as Spark, Hadoop, or Flink)
  • Expert managing AWS services (EC2, S3, Route 53, ELB, VPC, CloudWatch, Lambda) in a multi-account production environment
  • Experience with development frameworks and data integration technologies (such as Informatica, Talend, or Apache NiFi) and programming languages including Python, Scala, Java, or similar
  • Expert knowledge of Agile approaches to software development and able to put key Agile principles into practice to deliver solutions incrementally, * Experience with machine learning libraries and frameworks (such as TensorFlow, PyTorch, Scikit-learn, or MLlib) is an added advantage
  • Exposure to R, SparklyR, and other R packages is a plus
  • Monitors industry trends and directions; develops and presents substantive technical recommendations to senior management
  • Financial services industry experience
  • Excellent analytical thinking, interpersonal, oral and written communication skills with strong ability to influence both IT and business partners
  • Ability to prioritize and manage work to critical project timelines in a fast-paced environment

Benefits & conditions

S&P Global states that the anticipated base salary range for this position is $149,302 - $202,267. Final base salary for this role will be based on the individual's geographical location as well as experience and qualifications for the role. In addition to base compensation, this role is eligible for an annual incentive plan. This role is not eligible for additional compensation such as an annual incentive bonus or sales commission plan., We take care of you, so you can take care of business. We care about our people. That's why we provide everything you-and your career-need to thrive at S&P Global.

Our benefits include:

  • Health & Wellness: Health care coverage designed for the mind and body.
  • Flexible Downtime: Generous time off helps keep you energized for your time on.
  • Continuous Learning: Access a wealth of resources to grow your career and learn valuable new skills.
  • Invest in Your Future: Secure your financial future through competitive pay, retirement planning, a continuing education program with a company-matched student loan contribution, and financial wellness programs.
  • Family Friendly Perks: It's not just about you. S&P Global has perks for your partners and little ones, too, with some best-in class benefits for families.
  • Beyond the Basics: From retail discounts to referral incentive awards-small perks can make a big difference.

About the company

About S&P Global Ratings At S&P Global Ratings, our analyst-driven credit ratings, research, and sustainable finance opinions provide critical insights that are essential to translating complexity into clarity so market participants can uncover opportunities and make decisions with conviction. By bringing transparency to the market through high-quality independent opinions on creditworthiness, we enable growth across a wide variety of organizations, including businesses, governments, and institutions. S&P Global Ratings is a division of S&P Global (NYSE: SPGI). S&P Global is the world's foremost provider of credit ratings, benchmarks, analytics and workflow solutions in the global capital, commodity and automotive markets. With every one of our offerings, we help many of the world's leading organizations navigate the economic landscape so they can plan for tomorrow, today., Advancing Essential Intelligence. Our People: We're more than 35,000 strong worldwide-so we're able to understand nuances while having a broad perspective. Our team is driven by curiosity and a shared belief that Essential Intelligence can help build a more prosperous future for us all.From finding new ways to measure sustainability to analyzing energy transition across the supply chain to building workflow solutions that make it easy to tap into insight and apply it. We are changing the way people see things and empowering them to make an impact on the world we live in. We're committed to a more equitable future and to helping our customers find new, sustainable ways of doing business. Join us and help create the critical insights that truly make a difference. Our Values: Integrity, Discovery, Partnership Throughout our history, the world's leading organizations have relied on us for the Essential Intelligence they need to make confident decisions about the road ahead. We start with a foundation of integrity in all we do, bring a spirit of discovery to our work, and collaborate in close partnership with each other and our customers to achieve shared goals.

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