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STAFF DATA ENGINEER/DATA ENGINEER - IT (Sales & Marketing) - HORMEL FOODS (AUSTIN, MN, WILLMAR, MN, EDEN PRAIRIE, MN)

To save time applying, Hormel Foods does not offer sponsorship of job applicants for employment-based visas for this position at this time.

Hormel Foods Corporation 

ABOUT HORMEL FOODS - Inspired People. Inspired Food.

Hormel Foods Corporation, based in Austin, Minn., is a global branded food company with over $12 billion in annual revenue across more than 80 countries worldwide. Its brands include SKIPPY, SPAM, Hormel Natural Choice, Applegate, Wholly, Hormel Black Label, Columbus and more than 30 other beloved brands. The company is a member of the S&P 500 Index and the S&P 500 Dividend Aristocrats, was named on the "Global 2000 World's Best Employers" list by Forbes magazine for three straight years, is one of Fortune magazine's most admired companies, has appeared on Corporate Responsibility Magazine's "The 100 Best Corporate Citizens" list for the 12th year in a row, and has received numerous other awards and accolades for its corporate responsibility and community service efforts. The company lives by its purpose statement - Inspired People. Inspired Food. - to bring some of the world's most trusted and iconic brands to tables across the globe. For more information, visit www.hormelfoods.com and http://csr.hormelfoods.com/.

Summary: 

We are looking for a Staff Data Engineer within the Sales and Marketing domain as part of our Data and Analytics team.  This is an exciting opportunity to help grow and modernize analytics at Hormel Foods!  The ideal candidate will have strong communication skills and the ability to collaborate across multiple levels of the organization. You will manage multiple initiatives that require creative problem-solving. 

You will use tools such as Google Cloud Platform, SQL, Python, Incorta, Oracle Business Intelligence, and Informatica ETL to engineer data pipelines and data models to enhance enterprise reporting and analytics. Additionally, you will engineer reports, dashboards and visualizations using enterprise business intelligence tools (Oracle, Power BI and Tableau).

Specific competencies include:

• Data Structures and Models - Develops the overall database/data warehouse structure based on functional and technical requirements. Develops data collection frameworks for mainly structured and sometimes unstructured data. 
• Data Pipelines and ELT - Applies data extraction, loading and transformation techniques in order to connect medium to large data sets from a variety of sources.
• Data Performance - With minimal guidance, troubleshoots and fixes for data performance issues that come with querying and combining medium to large volumes of data. Tests for scenarios affecting performance during initial development.
• Visualizations and Dashboards - Designs and develops reports and dashboards that meet business needs. Leverages visualizations when possible to increase speed to identifying an insight.

Responsibilities:

• Collaborate with Sales & Marketing team members, data scientists, BI analysts, and other stakeholders to understand data needs and deliver solutions.
• Develop the overall database/data warehouse structure based on functional and technical requirements.
• Engineer physical and logical data models for dimensions and facts within the staging, warehouse, and semantic layers of enterprise data warehouses and platforms.
• Performance tune SQL, Python, Incorta, or Informatica ETL pipelines, as well as Google BigQuery Dataprocs to move data from various source systems and file types into dimensional data models.
• Utilize SQL within Google BigQuery, Informatica ETLs, Incorta pipelines, or Oracle SQL Views to achieve proper metric calculations or derive dimension attributes.
• Engineer schedule and orchestration for batch and mini-batch data loads into enterprise data warehouses and platforms.
• Provide issue resolution and maintenance for various business unit solutions existing in enterprise data warehouses and platforms.
• Use tools such as SQL, Oracle Business Intelligence, Power BI, Tableau, Google Cloud Platform, Python, Incorta, and Informatica ETL to engineer data pipelines and models to enhance enterprise reporting and analytics.
• Engineer dashboards within enterprise business intelligence platforms containing reports and visualizations with intelligent user interface design and flow for the business, ensuring adequate performance.

Required Qualifications:

• Bachelor's degree in Computer Science, MIS, or related area with experience in business intelligence, data engineering, and data modeling.
• 4+ years of experience with reading and writing SQL.
• 3+ years of experience engineering within a data warehouse or related experience with dimensional data modeling.
• 3+ years of experience designing and developing ETLs/pipelines in Python, Google BigQuery Dataprocs and/or Informatica ETL.
• 3+ years of experience with data enablement for a Point of Sale or Syndicated Consumption platforms. Preferably, Circana. 
• Ability to gather detailed technical requirements to design and develop data structures supporting business intelligence report solutions from beginning to end.
• Excellent written and verbal communication skills.
• Excellent organizational and time management skills.
• Tested problem-solving and decision-making skills.
• Strong pattern of initiative.
• Strong interpersonal skills.
• Applicants must not now, or at any time in the future, require employer sponsorship for a work visa.
• Applicants must be authorized to work in the United States for any employer. 

Preferred Qualifications:

• Advanced SQL reading and writing skills.
• Experience developing data pipelines and queries within Google Cloud Platform (Google BigQuery) and/or Oracle Databases.
• Experience engineering within a data warehouse or related experience with dimensional data modeling.
• Experience tuning SQL and ETLs.
• Proven ability to gather detailed technical requirements to design and develop business intelligence report solutions from beginning to end.
• Experience with Sales/Marketing/Consumption data.
• Experience with syndicated consumption providers or retailer-focused Point of Sale platforms.
• Experience working within Google Cloud Platform with services like Dataflow, Datafusion, Pub/Sub, Cloud SQL, Cloud Storage.
• Experience with Oracle SQL including advanced functions like analytical functions.
• Experience tuning complex SQL and ETLs.
• Experience within a core metadata model (RPD) including the physical, logical, and presentation layers for the enterprise business intelligence platform (OBIEE - Oracle Business Intelligence Enterprise Edition).

LOCATION: Austin, MN - Global Headquarters (Preferred). Secondary locations: Willmar, MN and Eden Prairie, MN 

TRAVEL REQUIREMENTS: Travel may be necessary 10% of the time.