Business Intelligence Data Engineer

Description

ABOUT GOLDEN STATE FOODS

Golden State Foods is a distinguished leader in the food service industry, offering an extensive array of products and services to a diverse clientele. Rooted in the values of quality service and integrity, we are dedicated to creating a supportive and inclusive atmosphere where employees can advance, innovate, and contribute to our ongoing success.

JOB SUMMARY:

The Data Engineer will be responsible for full cycle of DW development including analyzing the business requirements and designing the ETL processing using dimensional modeling, where applicable, to present the data to the presentation layer for reporting consumption, and post deployment, e.g. production support. The Data Engineer will be responsible to gather, collect, store, transform, and schedule (batch or real time) pipelines on the data and serve it any visualization tools.

The Data Engineer will also be responsible for evaluating the many BI/DW tools. available, incorporating them into the data platform and educating others on how best to use them.

• 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/ELT 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

• 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 business and organization needs.

Regular travel requirements (

• N/A

Education/Certification:

Four year college in a quantitative field such as Computer Science / Computer Information Systems or commensurate work experience.

• Industry experience as a Business Intelligence Data Engineer or related specialty (e.g. Software Engineer, Business Intelligence Engineer, and Data Scientist) with extensive professional experience and a proven track record in a role focused on understanding, manipulating, processing and extracting value from various systems.
• Strong proficiency in SQL
• Expert in ETL tools specifically Matillion
• Creative in finding new solutions and designing innovative methods, systems and processes
• Desire to create and build new predictive/optimization tools for structuring datasets
• Extensive experience Data Warehousing development:
  Star Schema modeling, slowly changing dimensions, row-level security, standard DW architecture/processes, troubleshooting and production support.

• Experience with AWS such as Redshift, EC2, S3, Pythons
• Strong analytic 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 with connecting data sets to data visualization tools and creating reports using PowerBI or other visualization tools.

Business

Expert

• Business Acumen

Proficient

• Oral and Written

• Business Alignment
• Requirements Definition
• Communication Skills
• Operational Process Flows
• Analyti…