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Business Intelligence Data Engineer
- Irvine, California, United States
- Irvine, California, United States
À propos
They will gather, collect, store, transform, and schedule (batch or real‑time) data pipelines, serving any visualization tools and evaluating BI/DW tools for incorporation into the data platform and educating stakeholders on their use.
Responsibilities
Work with business requirements to identify and understand source data systems; provide resolution for all data issues and coordinate with data analysts to validate requirements.
Map source system data to data warehouse tables.
Develop and perform tests and validate all data flows; prepare all ETL/ELT processes according to business requirements.
Define and capture metadata and rules associated with ETL processes.
Adapt ETL processes to accommodate changes in source systems and new business user requirements.
Collaborate with all developers and business users to gather required data, execute ETL programs and scripts, and implement all data warehouse activities and produce reports.
Provide support and maintenance on ETL processes and documentation.
Build partnerships across application, business, and infrastructure teams.
Strive to continuously improve software delivery processes and practices.
Champion company standards and best practices.
Additional Responsibilities
Accountable for properly following all IT standards, processes, and methodologies, including but not limited to Quality Assurance (QA).
Other responsibilities and accountabilities may be assigned based on business and organization needs.
Travel Expectations Regular travel requirements ( Management Responsibility N/A.
Minimum Qualifications Education: Four‑year college degree in a quantitative field such as Computer Science, Computer Information Systems, or related field, or equivalent experience.
Industry experience as a Business Intelligence Data Engineer or related specialty (e.g., Software Engineer, Business Intelligence Engineer, Data Scientist) with extensive professional experience and a proven track record in data manipulation, extraction, and value creation.
Strong proficiency in SQL.
Expertise in ETL tools such as Matillion, Informatica, SSIS, ODI, or equivalent data manipulation languages such as Python, SAS, and R.
Creative problem solving and designing innovative methods, systems, and processes.
Desire to create and build predictive/optimization tools for structuring datasets.
Extensive experience in Data Warehousing development: Star Schema modeling, slowly changing dimensions, row‑level security, standard DW architecture/processes, troubleshooting, and production support.
Preferred Qualifications
Experience with AWS services such as Redshift, EC2, S3, and Python.
Strong analytical skills for working with structured and/or unstructured datasets.
Strong project management and organizational skills, experience working on complex initiatives with cross‑functional teams in a dynamic environment.
Experience connecting data sets to data visualization tools and creating reports using PowerBI or other visualization tools.
Essential Knowledge, Skills, and Abilities
Business acumen and strong analytical skills.
Proficient oral and written communications.
Effective business alignment, requirements definition, communication skills, operational process flows.
Benefits
Extensive benefits package.
Equal Opportunity Employer GSF is an equal opportunity employer.
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Compétences linguistiques
- English
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