Leveraging S&P Global's digitization assets to transform documents into dynamic data models, enabling deeper analytics and enhanced risk management throughout the entity lifecycle. * Client Reference ...
A hybrid working model, allowing for in-office / work from home flexibility, generous vacation ... Perform root cause and impact analysis related with data impacting Transaction Monitoring (TM ...
Data Modeling Snow Flake Accounts Payable and Capital markets Architect
The candidate needs to be proficient in data engineering, predictive modeling, and reporting, with expertise in data visualization, machine learning techniques, Python, Azure, and SQL databases to ...
... data modeling techniques and experience with both relational and non-relational databases • Strong understanding of data governance, security, and compliance requirements • Excellent problem ...
Data Modeling: Proficiency in creating data models to represent complex data relationships * SQL: Strong skills in SQL for querying and managing databases * Salesforce Marketing Cloud Tools
Hands on data warehouse design, development, and data modeling best practices for modern data architectures * Highly proficient in at least one of these programming languages: Java or Python
Experience with data modeling and visualization This role offers an opportunity to shape data strategy and solutions in a dynamic financial services environment. The successful candidate will bridge ...
Apply data modeling, ETL/ELT principles, and data warehousing concepts to develop scalable data solutions. * Implement CI/CD practices to streamline data engineering workflows and ensure continuous ...
... data modeling and engineering. * Work with infrastructure engineering team to setup infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data ...
... Data Modeling, working with correlation models, predictive analysis, etc. Job Description: * Expert in at least one technology and design technique as well as experience working across large ...
Data Modeling: Design optimized data models tailored to payments data, enabling efficient data ingestion, processing, and retrieval for reporting and analytics. * Integration with Payment Systems
... data modeling and warehousing methodologies. - Strong analytical, problem-solving, and interpersonal communication skills. - Ability to work independently as well as collaboratively within a fast ...
Knowledge of data modeling and data warehouse concepts * Interest in transforming the construction industry through technology Benefits: As the Lead Data Engineer - Machine Learning, you can expect ...
Familiarity with data modeling, metadata management, and data cataloging. * Experience: * Minimum of 3-5 years of experience in data integration and data management roles. * Experience in developing ...
Providing data model level details to the team as part of the requirement design or issue fix for ease of technical team understanding. * Reviewing the test cases entry, assisting in SQL queries ...
Experience with database technologies (SQL, NoSQL) and data modeling. * Familiarity with cloud platforms (AWS, Azure, etc.) and containerization technologies (Docker, Kubernetes). * Knowledge of ...
Python (Pandas, NumPy, Scikit-Learn), SQL, Azure (or AWS, GCP, etc.) General knowledge and experience with Data Science, Machine Learning, Data Modeling, Predictive Modeling, Reporting and Analytics ...
Familiarity with Data models ... and modeling * Strong verbal, written, and presentation skills * Excellent with MS Office tools ...
Strong technical analysis and expertise to produce data models, business process models and converting into solution prototype rapidly * Experience in data health checks in Foundry to monitor ...
The Audience Sciences Manager oversees the curation of audience data (1P, 2P, 3P) to define, model and create audience segmentation, as well as addressable activation and measurement of audience ...
Strong background in database technologies (both SQL and NoSQL) and data modeling for high-volume, real-time applications. * Demonstrated ability to architect and optimize globally distributed ...
Partner with data scientists and ML engineers throughout the entire ML lifecycle, from model development to production deployment. ML Pipeline Design: Design and implement ML pipelines utilizing ...
Understanding of data design & modeling principles as well as architecture patterns such as data lake, lakehouse, data mart, data fabric and data mesh with experience in Data migrations and Open ...
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