Senior Data Engineer @ Orange County's Credit Union - Santa Ana, CA

Job Overview

2 months ago

Senior Data Engineer

Orange County's Credit Union - Santa Ana, CA

Great Opportunity AT Orange County's Credit Union
Must reside in the state of CA (Work Custom Remote Schedule).

ESSENTIAL FUNCTIONS:
  • Leads the technical delivery team and engages with organizational stakeholders (Business and IT) to design, develop and deliver end-to-end enterprise data analytics solutions to enable data-driven insights and decision making.
  • Understands overall data landscape to architect, design and implement data solutions that support IT and business strategic priorities and success measures.
  • Translates business requirements to technical solutions by applying technical knowledge and strong business acumen.
  • Solves business problems and complex data requirements/challenges by incorporating standards and best practices into engineering solutions, and leveraging modern data science programming languages (e.g., SQL, Python, R, Scala, SAS) and Azure data and analytics services.
  • Conducts data profiling, cataloging, and mapping of existing data sources to drive technical design and construct technical data flows.
  • Leads the development and implementation of database designs (logical and physical) and data models (normalized and dimensional) to support the new analytics platform.
  • Architects, designs, implements and maintains data ingestion/integration and end-to-end data pipeline processes using Azure technologies for a wide variety of traditional and non-traditional data sources/formats (structured, unstructured, and semi-structured) through various protocols (e.g., REST, SOAP, SFTP, MQ, etc.).

QUALIFICATIONS:
Experience/ Training/ Education:
  • Bachelor's degree or Master's degree from an accredited college/university in Data Science, Computer Science, Computer Engineering, Information Systems or a related discipline.
  • 7+ years of experience in Information Technology within a medium to large enterprise with complex business and IT environment.
  • 5+ years of experience as a Data Engineer/Data Architect working with cross-functional teams (within IT and/or Business) and leading technical resources on enterprise level business intelligence/data analytics implementations using Azure cloud-based analytics platforms/technologies (including hands-on experience with Microsoft/Azure stack, e.g., Synapse, Data Factory, Data Bricks, Data Lake, Data Catalog, SSIS, SQL, etc., and NoSQL databases).
  • 5+ years of hands-on experience in architecting, designing, implementing and maintaining data ingestion/integration and end-to-end data pipeline using Azure technologies for a wide variety of traditional and non-traditional data sources/formats (structured, unstructured, and semi-structured) through various protocols (e.g., REST, SOAP, SFTP, MQ, etc.).
  • 3+ years of experience working with and developing database designs (logical and physical) and data models (normalized and dimensional) for data warehouse, data marts and operational data stores.
  • 3+ years of hands-on experience working with data science programming languages (e.g., SQL, Python, R, Scala, SAS).


We perform thorough background checks and credit checks. EOE.

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