Fulltime job opportunity for Senior Data Engineer – Supply Chain

My name is Amandeep Dubey and I work with Mastech Digital as a Lead Recruiter. We have a permanent job opening for Senior Data Engineer – Supply Chain with one of our direct client. If you are interested in this position, please contact me / send your updated resume.

Note - This position does not offer visa sponsorship now or in the future. Candidates must be legally authorized to work in the U.S. without current or future sponsorship.

Job Titles: Senior Data Engineer – Supply Chain

Location: Austin, MN / Eden Prairie, MN (4 days Onsite – Relocation expenses are paid )

Employment type : Direct hire with client (Salary + Bonus + Benefits + Relocation Expenses)

BENEFITS: Client offers an excellent benefits package. Competitive base salary plus bonus, annual merit increase performance reviews, medical, dental, vision, non-contributory pension, profit sharing, 401(k), stock purchase plan, relocation assistance, paid vacation.

Job description:

As a Senior Data Engineer, you will lead the Supply Chain Data Engineering team responsible for delivering curated data assets, data pipelines, dimensional models, semantic models, and foundational data capabilities that support planning, procurement, manufacturing, inventory, logistics, and transportation across Hormel Foods.

This role plays a key part in advancing our Enterprise Data Foundation by leveraging technologies Google Cloud Platform (GCP), BigQuery, Composer (Airflow), enterprise Python-based ingestion and orchestration capabilities, Incorta, and enterprise semantic layer technologies. This role will help bridge modern cloud data ecosystem and legacy enterprise data platforms while delivering trusted data assets that power Supply Chain analytics and decision-making.

RESPONSIBILITIES:

• Lead and develop the Supply Chain Data Engineering team responsible for delivering curated data assets, data pipelines, dimensional models, semantic models, and foundational data capabilities supporting planning, procurement, manufacturing, inventory, logistics, and transportation. Utilize enterprise ingestion, orchestration, and platform capabilities to acquire, integrate, transform, and curate data that supports analytics, reporting, and business decision-making.
• Partner with Supply Chain stakeholders, Data Products & Solutions teams, architects, data scientists, and application teams to prioritize initiatives and deliver scalable data solutions that support business objectives.
• Design, develop, and support Supply Chain data solutions across modern and legacy platforms, including BigQuery, Composer (Airflow), Python, Incorta, Oracle Analytics Server (OAS), Oracle Enterprise Data Warehouse, Informatica, PL/SQL, and enterprise semantic layer technologies.
• Establish and promote engineering best practices, including data modeling standards, code reviews, testing strategies, CI/CD adoption, monitoring, observability, and operational support processes.
• Partner with Data Governance teams and business data stewards to implement and maintain data quality rules, metadata cataloging, business glossary definitions, critical data elements, observability capabilities, and data remediation processes across Supply Chain data domains.
• Drive modernization initiatives that advance the Enterprise Data Foundation, improving scalability, reliability, developer productivity, and long-term maintainability while reducing technical debt.
• Provide technical leadership through architecture reviews, design reviews, mentoring, coaching, and cross-functional collaboration with Data Platform Engineering, Architecture, Infrastructure, Security, Governance, and Integration teams.

Required:

• Bachelor’s degree in computer science, MIS, engineering, mathematics, or related field, and significant experience supporting enterprise data, analytics, and technology platforms.
• 7+ years of experience developing and optimizing SQL solutions.
• 7+ years of experience designing, implementing, and supporting enterprise data warehouse, lakehouse, or modern data platform solutions.
• 5+ years of experience developing data pipelines and data integration solutions using Python and/or modern ETL/ELT technologies.
• Strong experience with dimensional modeling, semantic modeling, and curated analytical data structures, including development and support of enterprise semantic layer solutions.
• Demonstrated leadership experience leading technical teams, mentoring engineers, and delivering cross-functional initiatives.
• Experience partnering with business stakeholders to translate business requirements into scalable data solutions.
• Strong understanding of Supply Chain business processes including planning, procurement, manufacturing, inventory management, logistics, transportation, or warehouse operations.
• Experience implementing data quality, monitoring, observability, and operational support practices.
• Excellent communication, organizational, problem-solving, and stakeholder management skills.

Preferred Qualifications:

• Experience with Google Cloud Platform technologies including BigQuery, Cloud Storage (GCS), Composer (Airflow), Dataflow, Pub/Sub, and Data Fusion.
• Experience utilizing enterprise ingestion and orchestration frameworks to acquire, process, and curate enterprise data assets.
• Experience developing enterprise-scale data pipelines and data integration solutions using Python.
• Experience with Incorta analytics and data platform technologies.
• Experience designing and implementing semantic layer solutions utilizing technologies such as AtScale, Cube, Oracle Analytics Server (OAS), or similar platforms.
• Experience designing and supporting curated data products for enterprise analytics and self-service reporting.
• Experience with Oracle Enterprise Data Warehouse environments.
• Experience with Informatica ETL development.
• Advanced SQL and PL/SQL development, performance tuning, and optimization experience.
• Experience partnering with Data Governance teams and business data stewards on metadata management, business glossary development, data quality initiatives, observability, critical data elements, and remediation processes.
• Experience supporting enterprise data modernization initiatives spanning both cloud-native and legacy data ecosystems.
• Experience within food manufacturing, consumer packaged goods (CPG), Supply Chain, logistics, or related industries.
• Experience managing and developing technical teams.

Thanks,

Amandeep Dubey

Cell : +1 (412) 730- 4068

[email protected]