Data Engineer - Golden State Foods
Irvine, CA 92612
About the Job
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
Business Intelligence Data Engineer Analyst Tasks
| 75% |
2. Additional Responsibilities
| 25% |
Qualifications:
MINIMUM QUALIFICATIONS
Education/Certification
- Four year college or commensurate work experience. Advanced degree in Science and Technology related field preferred
- 5+ years - Knowledge of AWS Infrastructure including S3, Redshift and RDS. Must have hands on client experience.
- Expertise in MS Excel.
- Expertise in SQL and relational databases
- Strong communication (verbal and written) and interpersonal skills to translate key insights from complex analyses into actionable business insights
- Proven ability of looking at solutions in unconventional ways- seeing opportunities to innovate and leading the way
- Strong proficiency in SQL
- Creative in finding new solutions and designing innovative methods, systems and processes
- Experience with building multi-dimensional data models to serve as a foundation for future analyses
- Experience with predictive modeling
- Experience with IoT, Machine Learning, and AI- Strong analytic skills for working with unstructured datasets
- Experience with connecting data sets to data visualization tools and creating reports using Tableau and Power BI
- Strong project management and organizational skills, experience working on complex initiatives with cross-functional teams in a dynamic environment
- Experience with Dell Boomi
- Experience with data visualization tools like Tableau and Microsoft Power BI
Preferred Qualifications
- Expert in ETL and/or other data manipulation languages such as Python, SAS and R
- Experienced knowledge of AWS Infrastructure including S3, Redshift and RDS
- Industry experience as a 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 large disconnected datasets.
- 3+ years of analysis experience
- Desire to create and build new predictive/optimization tools for structuring datasets
At GSF, we believe that investing in our associates strengthens our culture and fuels our growth. We care about your well-being,and will support you with the following:
- Paid time off subject to eligibility, including paid leave (in compliance with state and local regulations), vacation, sick, holiday, jury duty, and bereavement.•Comprehensive benefits package to support our associates and their families, subject to elections and eligibility: Medical, Dental, Vision, 401(k), Disability, Health and Dependent Care Reimbursement Accounts, Employee Assistance Program (EAP), Voluntary Insurance (Accident, Critical Illness, Hospital Indemnity, Legal, Life, and AD&D), Retirement Plan.
- Associate Development via Education Reimbursement and/or Scholarships, virtual courses, or classroom development experiences.
- Flexible work schedules (subject to your location and role).
- Please note that the compensation details listed in postings reflect the base pay only.
- Additional compensation including bonuses and car allowances are subject to eligibility.
The expected range for this position is $120,000–$140,000/year (For Salaried, Exempt Roles & Salaried, Non-Exempt Roles)
Location, confirmed job-related skills, education, experience, and relevant training will be considered in setting the actual starting salary.