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Hormel Foods · 4 hours ago

Senior Data Engineer IT (Supply Chain) Hormel Foods- (Austin, MN/Eden Prairie, MN)

Austin, MN, United States

Full-time

Onsite

Senior Level

$120K/yr - $167K/yr

7+ years exp

Hormel Foods Corporation, based in Austin, Minnesota, is a global branded food company. They are seeking a Senior Data Engineer specializing in Supply Chain data to manage a team and enhance analytics through innovative problem-solving and technical expertise, utilizing various data engineering tools.

Food ProcessingManufacturingMeat and Poultry

No H1B

Responsibilities

Works directly with the Supply Chain 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

Qualification

SQLPythonData WarehousingETL DevelopmentGoogle Cloud PlatformOracle Business IntelligenceTableauData ModelingCommunication SkillsProblem-SolvingLeadership SkillsOrganizational Skills

Required

A bachelor's degree in Computer Science, MIS, or related area and significant experience with business intelligence, data engineering and data modeling

7+ years of experience with reading and writing SQL

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

Proven 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

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

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

5+ years of experience designing and developing within a business intelligence/reporting tool like Oracle Business Intelligence, Tableau or Power BI

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 semantic layer platforms including the physical, logical and presentation layers for the enterprise business intelligence platform (RPD in OBIEE – Oracle Business Intelligence Enterprise Edition or AtScale semantic layer)