Lead Software Engineer, Big Data

Key Skills

Apache Hive, AWS, Azure, Big Data Technology, ETL/ELT technologies, IT, Java Programming, Machine learning techniques, Python Programming, Scala Programming, SPARK Programming, TensorFlow

Job Description

You will be an expert contributor and part of the Rating Organization’s Data Services 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 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.

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 Integrated Data Facility with modern AWS cloud technologies such as S3, Hive, Databricks, Scala, Python and Spark
• Build and maintain a data environment for speed, accuracy, consistency and ‘up’ time
• Ensure data governance principles adopted, data quality checks and data lineage implemented in each hop of the data
• Partner with the data teams, 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

Experience & Qualifications:

• BE, MCA or MS degree in Computer Science or Information Technology
• 6 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, Java/ Scala/ Python etc.
• Good to have expertise in building application using Kafka, Golden Gate etc. for building ingestion pipeline for Bulk and incremental data loads.
• 3+ years of expertise in handling stakeholder management, people management, risk management,
• 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
• 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

About Company Statement:

S&P Global delivers essential intelligence that powers decision making. We provide the world’s leading organizations with the right data, connected technologies and expertise they need to move ahead. As part of our team, you’ll help solve complex challenges that equip businesses, governments and individuals with the knowledge to adapt to a changing economic landscape.

S&P Global Ratings offers critical insights for credit, risk and sustainable finance solutions that are essential to translating complexity into clarity, so market participants can uncover opportunities.

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Equal Opportunity Employer

S&P Global is an equal opportunity employer and all qualified candidates will receive consideration for employment without regard to race/ethnicity, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, marital status, military veteran status, unemployment status, or any other status protected by law. Only electronic job submissions will be considered for employment.

If you need an accommodation during the application process due to a disability, please send an email to: EEO.Compliance@spglobal.com and your request will be forwarded to the appropriate person.