Senior Data Engineer IT (Supply Chain) - Corporate Office (Austin, MN)

SENIOR DATA ENGINEER – IT (Supply Chain) CORPORATE OFFICE (AUSTIN, 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®, Justin’s®, 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 Senior Data Engineer specializing in Supply Chain data within our Data and Analytics team. This is an exciting opportunity to help grow and modernize analytics at Hormel Foods! Individuals interested in this position will need strong communication skills, with the ability to collaborate across all levels of the organization. You will be responsible for managing a team and simultaneous initiatives that require innovative problem-solving and technical expertise.

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

Specific competencies include:

Data Structures and Models - Designs, develops and scales the overall database/data warehouse structure based on functional and technical requirements.  Designs, develops and scales data collection frameworks for structured and unstructured data.

Data Pipelines and ELT - Designs, applies and scales data extraction, loading and transformation techniques in order to connect large data sets from a variety of sources.

Data Performance - In complete autonomy, troubleshoots and fixes for data performance issues that come with querying and combining large volumes of data.  Accounts for scaled performance in initial design.
 

Visualizations and Dashboards - Gathers requirements, designs and develops reports, dashboards and visualizations with multiple sources that meet business needs.  Understands data and ideates ways for business to leverage data in innovative ways.

RESPONSIBILITIES:

• Works directly with the Sales and Marketing business unit to understand their analytics needs and gather requirements for analytics solutions
• Design and implement physical and logical data models for dimensions and facts across staging, warehouse, and semantic layers of enterprise data platforms.
• Develop and optimize SQL, Python, Incorta, or Informatica ETLs and pipelines, including Google BigQuery Dataprocs, to ingest and transform data from diverse sources into dimensional models.
• Utilize SQL within Google BigQuery, Informatica ETLs, Incorta pipelines, or Oracle SQL Views to derive metrics and dimension attributes.
• Engineer and orchestrate batch and mini-batch data loads into enterprise data platforms.
• Provide ongoing support and maintenance for existing Supply Chain data solutions within enterprise data warehouses.
• Use tools such as SQL, Oracle Business Intelligence, Tableau, Google Cloud Platform, Python, Incorta, and Informatica ETL to build robust data pipelines and models that support enterprise analytics.
• Design and develop dashboards and reports with intuitive user interfaces and optimized performance for Supply Chain operations.

QUALIFICATIONS:

Required 

• A bachelor's degree in Computer Science, MIS, or related area and significant experience with business intelligence, data engineering and data modeling. 5+ years of experience with reading and writing SQL. 
• Proven ability to gather detailed technical requirements to design and develop data structures supporting business intelligence report solutions from beginning to end.
• 7+ years of experience with reading and writing SQL.
• Excellent written and verbal communication skills.
• Strong organizational and time management skills.
• Tested problem-solving and decision-making skills.
• A strong pattern of initiative.
• Highly developed interpersonal and leadership skills.
• Demonstrated success in leading cross-functional data projects.
• Must be a Citizen or National of the United States, a lawful, permanent resident, or have authorization to work in the United States.
• Applicants must not now, or in the future, require sponsorship for an employment visa.

Preferred

• 7+ years of experience engineering within a data warehouse or related experience with dimensional data modeling.
• 7+ years of experience designing and developing ETLs/pipelines in Python, Google BigQuery Dataprocs and/or Informatica ETL.
• 5+ years of experience designing and developing within a business intelligence/reporting tool like Oracle Business Intelligence, Tableau or Google Cloud Platform.
• Experience with Supply Chain data, including logistics, inventory, procurement, and manufacturing.
• Familiarity with ERP systems and supply chain planning tools.
• Experience working within Google Cloud Platform with services like Dataflow, Datafusion, Pub/Sub, Cloud SQL, Cloud Storage
• Advanced Oracle SQL including advanced functions like analytical functions.
• Experience in 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 location Willmar, MN. 

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

BENEFITS: Hormel Foods offers an excellent benefits package. Competitive base salary plus target incentive, discretionary annual merit increase, annual performance review, medical, dental, vision, non-contributory pension, profit sharing, 401(k) immediate eligible, stock purchase plan, relocation assistance, paid personal time (PTO), FREE two-year community/technical college tuition for children of employees, and more.

At Hormel Foods, base pay is one part of our total compensation package and is determined within a range.  The base hiring pay range for this role is between $117,200-$164,000 per year, and your actual base pay within that range will depend upon a variety of factors including, but not limited to, job-related knowledge, skill set, level of experience, and geographic market location.  

At Hormel we invite difference and diversity in all aspects.  We offer a space of support, understanding, and community.  We are committed to the journey!  Learn more about our progress here: https://www.hormelfoods.com/about/diversity-and-inclusion/

Hormel Foods Corporation is an equal opportunity employer.  All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or veteran status.