About the Role:

Grade Level (for internal use):

The Role: Lead Data Engineer

S&P is a leader in risk management solutions leveraging automation and AI/ML. This role is a unique opportunity for a hands-on Data Engineer to grow into the next step in their career journey and apply her or his technical expertise in Data Engineering and Data-driven initiatives to drive business value for multiple stakeholders while conducting cutting-edge applied engineering design and development  around data engineering for  Gen AI, and automation initiatives..

Responsibilities: 

• Assembling large, complex sets of data that meet non-functional and functional business requirements

• Identifying, designing and implementing internal process improvements including re-designing infrastructure for greater scalability, optimizing data delivery, and automating manual processes
• Building required infrastructure for optimal extraction, transformation and loading of data from various data sources using AWS and SQL technologies
• Building analytical tools to utilize the data pipeline, providing actionable insight into key business performance metrics including operational efficiency and customer acquisition
• Working with stakeholders including data, design, product and executive teams and assisting them with data-related technical issues
• Working with stakeholders including the Executive, Product, Data and Design teams to support their data infrastructure needs while assisting with data-related technical issues
• Work with Data science teams to ensure data ingestion pipelines are well integrated with AI, ML and GenAI downstream applications.
• Work closely with MLops and Devops teams to ensure data engineering pipelines are well designed to meet ML and GenAI operational requirements and SLAs 

Requirements :

• Bachelor's or Master's degree in Computer Science, Information Systems, Engineering or equivalent.
• 5-6+ years of relevant experience with detailed knowledge of data engineering, ETL/ ELT and reporting/analytic tools.
• 3+ years of experience with Cloud based DW.
• 3+ years' experience in Big Data Distributed ecosystems (Hadoop, SPARK, Hive & Delta Lake)
• 3+ years experience in Workflow orchestration tools such as Airflow etc.
• 3+ years' experience in Big Data Distributed systems such as Databricks, AWS EMR, AWS Glue etc.
• Leverage monitoring tools/frameworks, like Splunk, Grafana, CloudWatch etc.
• Experience with container management frameworks such as Docker, Kubernetes, ECR etc.
• 3+ year's working with multiple Big Data file formats (Parquet, Avro, Delta Lake)
• Experience working on CI/CD processes such as Jenkins, Codeway etc. and source control tools such as GitHub, etc.
• Strong experience in coding languages like Python, SQL, Spark, MlFlow, Databricks, Scala & Java

Knowledge and Skills

• Fluent in relational based systems and writing complex SQL.
• Fluent in complex, distributed and massively parallel systems.
• Strong analytical and problem-solving skills with ability to represent complex algorithms in software.
• Strong understanding of database technologies and management systems.
• Strong understanding of data structures and algorithms
• Database architecture testing methodology, including execution of test plans, debugging, and testing scripts and tools.
• Strong analytical and problem-solving skills.

Nice to Have

• Have experience in building realtime streaming data pipelines
• Experience in pub/sub streaming technologies like Kafka, Kinesis, Spark Streaming etc.

Compensation/Benefits Information:

S&P Global states that the anticipated base salary range for this position is $100,200 - $200,000. Base salary ranges may vary by geographic location.

This role is eligible to receive S&P Global benefits.

For more information on the benefits we provide to our employees, visit https://www.spgbenefitessentials.com/newhires.

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