Job Description

S&P Global Ratings is looking for a Big Data Engineer to join Ingestion Pipelines Engineering team within Data Services group, 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 cutting edge Ingestion pipelines solutions.

The Team

You will be an expert contributor and part of the Rating Organization’s Ingestion Pipelines 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 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 Ingestion pipelines platform.

Our Hiring Manager Says

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, needs to be hands-on, worked on transformational initiatives, and can drive results.

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
• Work closely with other data teams & Data Science team and participate in development of Ingestion pipelines
• 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 Spark
• 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

Experience & Qualifications:

• BE, MCA or MS degree in Computer Science or Information Technology
• 8+ years of experience as data engineer at an innovative organization
• 5+ years of hands-on experience in implementing data lake systems using AWS/Azure cloud technologies such as Hive, Spark , Scala/ Python/ Java etc.
• Good to have expertise in building application using Kafka, 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
• Should be in position to handle issue resolution and provide direction to teams both technically and functionally
• Should be in position to articulate and convert requirements into solution.
• Experience With Machine Learning Libraries and Frameworks (TensorFlow, MLlib) is an added advantage
• 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