Data Engineer

Overview

If you are  considering a career with one of the largest diversified suppliers in the foodservice industry. Golden State Foods sets the Gold Standard by focusing on it’s Creed and Values, putting customers first and continually innovating. GSF associates are also deeply committed to the communities where they live and work, as much as an 80% participate in the GSF Foundation, where 100% of the associate proceeds go to helping children and families in need.

 

The Business Intelligence Data Engineer will be responsible for the scripts and processes required to extract, transform, clean and move data and metadata so they can be loaded into a data warehouse, data mart or operational data store. Reads, analyzes and digests what the company wants to accomplish with its data, and designs the best possible ETL process around those goals. Capable of managing remote workers. Must have hands on client experience. This is a hybrid remote position for Southern California.  

Responsibilities

ESSENTIAL FUNCTIONS

(% of time may vary depending on assignments/projects)

 

1.       Business Requirements

• Collect and document business requirements using: interviews, document analysis, requirements workshops, surveys, site visits, business process descriptions, user stories, use cases, scenarios, business-process and workflow analysis.
• Critically evaluate information gathered from multiple sources and reconcile conflicts. 
• Proactively communicate and collaborate with external and internal customers to understand processes, analyze information needs and define functional requirements.
• Serve as the conduit between the business unit and the BI development team.
• Successfully engage in multiple initiatives simultaneously and able to meet project deliverable deadlines.
• Work independently with users to define concepts.
• Review and edit requirements, specifications, business processes and recommendations related to proposed solution.
• Lead and perform complex analysis in an evolving data environment.
• Extract and analyze data, patterns, and related trends as needed, with the subsequent ability to synthesize the data into information consumable by organization.
• Provide data extraction, reports, dashboards, analysis and consultation services across organization.
• Design and roll out Business Intelligence solutions to end users.
• Ensure high levels of Business Intelligence availability through support functions and in-depth testing.
• Participate in strategic design, implementation, and maintenance of Business Intelligence software and systems, including integration with databases and data warehouses. 

Business Intelligence Data Engineer Analyst Tasks

• Provide application analysis and data modeling design to collect data for centralized data warehouse.
• Extract data from databases and data warehouses for reporting and to facilitate sharing between multiple data systems.
• Proficient in the use of query and reporting analysis tools.
• Standardize data collection by developing methods for database design and validation reports.
• Work with business requirements to identify and understand source data systems; provide resolutions to all data issues and coordinate with data analyst to validate all requirements, perform interviews with all users and developers.
• Map source system data to data warehouse tables
• Develop and perform tests and validate all data flows and prepare all ETL processes according to business requirements and incorporate all business requirements into all design specifications.
• 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 and execute all ETL programs and scripts on systems and implement all data warehouse activities and prepare reports for same.
• Provide support and maintenance on ETL processes and documentation
• Build partnerships across the application, business, and infrastructure teams
• Strive to continuously improve the software delivery processes and practices
• Champion company standards and best practices

 

75%

2.       Additional Responsibilities

• Accountable for properly following all IT standards, processes and methodologies as applicable including but not limited to Quality Assurance (QA),
• Other responsibilities and accountabilities may be assigned based on bus