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Job Details
About the Role: Grade Level (for internal use):09 The Team: S&P Global Ratings is looking for a Big Data Engineer to join Data Engineering team within Data & Content Products pillar, a team of data and technology professionals who define and execute the strategic data roadmap for S&P Global Ratings. The successful candidate will participate in the design and build of S&P Ratings cloud based analytics platform to help develop and deploy advanced analytics/machine learning solutions. The Impact: You will be an expert contributor and part of the Rating Organization’s Data & Content product Engineering 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 & Content 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. What’s in it for you: If you are an individual that brings demonstrated experience of delivering big data projects as a data engineer,, this is an excellent opportunity. I am looking for someone with sound technical knowledge, can be hands-on, worked on transformational initiatives, and can drive results. Responsibilities:
- 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, Hive, Data Bricks, Java/Scala and Spark
- 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 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
- BS or MS degree in Computer Science or Information Technology
- 4+ years of experience as data engineer at an innovative organization
- 2+ years of hands-on experience in implementing data lake systems using AWS cloud technologies such as S3, Redshift, EMR, Data Bricks, Hive, Presto and Spark
- Expert managing AWS services (EC2, S3, Route 53, ELB, VPC, cloudwatch, Lambda) in a multi account production environment
- Experience With Machine Learning Libraries and Frameworks (TensorFlow , MLlib) is an added advantage
- Exposure to R , SparklyR , and Other R packages is a Plus
- Experience with development frameworks as well as data and integration technologies such as Informatica, Python, Scala, Java
- Expert knowledge of Agile approaches to software development and able to put key Agile principles into practice to deliver solutions incrementally.
- Monitors industry trends and directions; develops and presents substantive technical recommendations to senior management
- 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
- Financial services industry experience
- 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
S&P Global
United States
At S&P Global we transform data into Essential Intelligence®, pinpointing risks and opening up possibilities. We Accelerate Progress in the world.... Read more