Seasonal Data Engineer

Work is Sweet!

'Quality without Compromise' is not just a motto at See’s Candies. It is the most important ingredient in our recipe for success. See’s Candies has been in business since 1921 and maintains a reputation for producing the highest quality candy and providing superior customer service.

See’s is a leader in the confectionery industry with over 250 retail shops across the USA, a growing e-commerce business, and expanding opportunities internationally. We are seeking friendly, enthusiastic individuals who are passionate about helping us grow and thrive in our second century.

Job Description Summary:

Job Description:

Job Description:
POSITION RESPONSIBILITIES:

• Build and manage Data Lake ingestion and staging of data from various disparate sources for analytics and storage purposes using Azure Data Factory.
• Design and implement Data Lake lifecycle processes that support effective data provisioning capabilities to support enterprise project requirements.
• Implement and manage ELT routines using Azure Data Factory to extract, load, and transform data into Azure SQL Data Warehouse.
• Provide Databricks and ML platform support, assisting analysts with data preparation and pipeline integration for advanced analytics use cases.
• Prepare, manage, and optimize curated data sets within the data lake and data warehouse to support machine learning, forecasting, and advanced analytics initiatives.
• Perform end-to-end data testing and validation to confirm the accuracy, completeness, and integrity of data delivered for analytics and reporting.
• Ensure that the business intelligence and analytics platform is accurate, available, performant, and secure.
• Diagnose, fix, improve, and automate complex issues across the data and analytics stack to ensure maximum uptime and performance.
• Support data analysts by ensuring reliable data pipelines, data availability, and backend support for reporting and analytical models.
• Participate in all phases of the analytics project process, including technical requirements gathering, design, development, testing, and implementation.
• Provide well-documented data pipelines, infrastructure, and processes with attention to detail.
• Responsible for identifying opportunities to enhance technology and innovation that will improve the effectiveness of the data and analytics platform.

MINIMUM QUALIFICATIONS:

• Bachelor’s degree or higher in Computer Science, Engineering, Technology or related field; equivalent related work experience may be considered in lieu of degree.
• Solid knowledge of Azure analytics components such as Azure Data Lake Storage, Azure Data Factory, Databricks, Azure SQL, Synapse / SQL Data Warehouse, Azure Analysis Services, Azure ML and Power BI Services required.
• Experience developing Power BI data models and reports.
• 4+ years’ experience in business data warehouse and analytics / BI architectures, including design and development across multiple technologies and analytical platforms.
• 2+ years’ experience in analytical development leveraging Azure analytics components end-to-end.
• Experience supporting data pipelines, data preparation, or analytical workflows used for machine learning or AI-driven analytics initiatives.
• Experience delivering analytics development, including backlog planning, building, testing, and delivery.
• Experience working in a retail and/or manufacturing organization; food and beverage experience a plus.
• Proven ability to learn new technologies quickly and manage change efficiently, proactively, and in a positive manner.

See's is an EOE
See’s will consider for employment qualified applicants with criminal histories in a manner consistent with the requirements of applicable local, state or federal law (including San Francisco Ordinance #131192 and Los Angeles Municipal Code 189.00).