Senior Data Engineer
US - NY - VIRTUAL, United States
Grade Level (for internal use):
10About the Role:
Title: Senior Data Engineer – Big Data
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.
Responsibilities and Impact:
- The Data Engineer will support our data department on data initiatives and will ensure optimal data delivery architecture is consistent throughout ongoing projects
- Design & Develop “Transformations” aspects using ELT framework to modernize the Ingestion pipelines and build data transformations at scale
- Experience 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 Distributed data processing framework
- Build processes supporting data transformation, data structures, metadata, dependency and workload management.
- Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources into SQL Server, MongoDB, and others
- Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc
- 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
Compensation/Benefits Information:
S&P Global states that the anticipated base salary range for this position is $95,000 to $166,000. Final base salary for this role will be based on the individual’s geographic location, as well as experience level, skill set, training, licenses and certifications.
In addition to base compensation, this role is eligible for an annual incentive plan. This role is eligible to receive additional S&P Global benefits. For more information on the benefits we provide to our employees, please click here.
What We’re Looking For:
Basic Required Qualifications:
- BE, MCA or MS degree in Computer Science or Information Technology
- 3+ years of hands-on experience in implementing data lake systems using AWS/Azure cloud technologies such as S3, Databricks, Hive.
- 1+ years of Expertise in building application …
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Right to work in the United States
Benefits/PerksAdditional benefits Additional S&P Global benefits Annual incentive plan Base salary Continuous learning
Tasks- Design
- Development
- Ensure compliance
- Integration
- Support
Access Agile Analytical Analytics Angular API API design APIs AWS Azure Azure DevOps Big Data C Cloud Cloud Technologies Collaboration Communication Compliance Continuous Integration Databricks Data ingestion Data processing Data Transformation Design Patterns Development DevOps ELT Engineering ETL Finance Financial Services Hive Informatica Information Technology Initiative Interpersonal J2EE Java Jenkins Leadership Linux Machine Learning Microservices MongoDB Monitoring Numpy Organization Pandas Python RDBMS ReactJS Remediation Research S3 Scala Scripting Service Oriented Architecture Shell scripting SOAP Software Development SQL SQL Server Supply chain Technology TensorFlow Training UNIX Workflow Workforce Planning
Experience3 years
EducationBE Business Computer Science Engineering Finance Information Technology Management MS Technology
Certifications TimezonesAmerica/Anchorage America/Chicago America/Denver America/Los_Angeles America/New_York Pacific/Honolulu UTC-10 UTC-5 UTC-6 UTC-7 UTC-8 UTC-9