Sr Data Modeler

At least 10+ years of experience working as Data Modeler.
Extensive experience in designing data models for large-scale systems
Expertise in GCP architecture and BigQuery
Expertise in SQL optimization and data modeling techniques
Ability to write, tune, and interpret SQL queries.
Strong experience with version control systems
Strong ability to present complex technical concepts to leadership
Extensive experience in architecture, construction, and implementation of data-intensive solutions
Strong understanding of metadata management and data cataloging
Adeptness to learn new assignments, technologies and applications quickly and manage multiple assignments simultaneously
Ability to troubleshoot, maintain, reverse engineer and optimize existing ETL pipelines.
Hands-on experience with Python, Dataflow and Cloud Composer
Ability to analyze and interpret complex data, and offer solutions to complex clinical problems.
Ability to work independently on assigned tasks.
Strong written and verbal communication skills including the ability to explain complex technical issues in a way that non-technical people may understand.
Excellent problem-solving and critical thinking skills.
Knowledge of IT governance and operations.

Nice to Have

Design schemas and structures for data products that are robust, scalable, and secure.
Integrate data products with business systems, workflows, and analytical tools.
Ensure data products are optimized for machine learning, real-time analytics, and other advanced use cases.
Work closely with individuals across the technology organizations to help promote awareness of the data architecture and ensure that enterprise assets of competence are leveraged.
Identify the best cloud architecture options to help the firm accomplish its strategic goals.
Good understanding of cloud computing concepts

Education

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