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Associate Data Engineer
Sargento Foods Plymouth, WI
$109k-134k (estimate)
Full Time | Wholesale 1 Month Ago
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Sargento Foods is Hiring an Associate Data Engineer Near Plymouth, WI

Your Story.

The ideal candidate should have an intermediate foundation in data engineering principles and a passion for working with large datasets to extract valuable insights. Should have an excellent ability to learn and apply technical data modeling expertise and be responsible for preparing data for analytical or operational uses in alignment with the Data & Analytics (D&A) strategy.

Ability to learn design, solutioning and integrity of master and transactional data in Enterprise Applications including SAP S/4HANA and other allied and/or integrated systems in support of the data analytics goals and objectives of the Corporation. Primary responsibility is to gain a good understanding of Enterprise data and assist in integration, consolidation, cleansing, and structure it for use in analytics applications. Requires an eye for detail and willingness to perform hands-on analysis and development in addition to system management tasks to design, build and implement Enterprise Analytics solutions. Works to identify, analyze, verify, extract, load, and transform (ELT) data using data engineering tools including but not limited to Matillion and Snowflake to support analytics enterprise reporting tools such as ThoughtSpot & SAP Business Intelligence Suite (BOBJ). Participates in monitoring and optimizing data flows, D&A and related reporting initiatives. Focus on innovation and leveraging the new capabilities of the enterprise systems and from the analytics industry.

Your Passion. Our Culture.
At Sargento, you work for a company you believe in, with a family of people who believe in you. Our culture stems from a simple premise: Hire good people and treat them like family. At Sargento, you can make decisions based on how they affect people as well as the long-term health of our company. You will be encouraged to make a meaningful difference in the community, in the company and in your career. With diverse experiences and tools to learn and develop, you can transform your aspirations into reality. If you’re ready for the right place to belong and grow your career, you can find it here.
Benefits that set us apart.
• Comprehensive medical including Fertility, Adoption benefits, Dental, and Vision Insurance
• Flexible Work Week
o Hybrid work schedule – Onsite Tuesday – Thursday with the option to work remotely Monday and Friday
o Compressed work week – Option of ½ day Friday
• Onsite Health & Wellness Center: includes a nurse practitioner, licensed physical therapist, dietitian, personal trainer, and health coach, care coordinator and work-life mentor
• Employer 401K contribution in the top 1% of the nation
• Relocation Assistance
• Tuition Assistance
• Access to Employee Store

What You Do.

ESSENTIAL DUTIES AND RESPONSIBILITIES include the following. Other duties may be assigned. Under the direction of the Manager – Data Engineering:

Specific Duty

Percent Allocation

1

As a member of an Agile (SAFe) team, participates in Agile team activities and specifically focused on supporting D&A, related reporting, platforms, and tools. May include but not limited to:

· Basic understanding of data modeling concepts such as good understanding relational database, multi-dimensional modeling, star schema, facts and dimension tables.

· Assists & supports in identifying data sources, develops and verifies data extraction, loading, and transformation (ELT) between various Enterprise and/or integrated systems.

· Working knowledge of SQL programming.

· Familiarity using D&A tools including but not limited to Matillion, Snowflake, ThoughtSpot, SAP Business Intelligence Suite (BOBJ) and/or SAP HANA to execute data management processes, data modeling, and data replication tasks in full compliance with formal change management and other governance protocols.

· Understands Entity/Relationship diagrams and has passion to learn data catalog tools such as Atlan for Data Dictionary, Data Profiling artifacts, data flow diagrams, Meta Data creation, and data sourcing plans as needed.

· Supports Enterprise Application system upgrades and support package applications as well as any new product implementations from D&A perspective.

· Good expertise in using MS Excel and proficient in Microsoft tools such as Word, PowerPoint, Outlook, etc.

· Good written and verbal communication.

· Collaborate with cross-functional teams to understand data requirements and design scalable solutions to meet business needs.

· Be able to solution problems from different perspectives, identify risks and devise solution options for them.

60%

2

Performs regular quality, maintenance and training activities which may include:

· Monitor and support data flow operations. Able to analyze issue and suggest resolution steps to resume normal updates and operations.

· Analyze and validate data integrity across the data engineering landscape in Enterprise Applications including, but not limited to SAP S/4HANA and SAP SCM.

· Help ensure the reliability, efficiency, and scalability of our data systems.

· Supports Data Governance in development and continuous improvement of standards to ensure accurate data collection, processing, modeling, and analysis.

· Assist in training for stakeholders to ensure adherence to standards and facilitate high adoption of the tools supporting the organization’s big data ecosystem.

20%

3

Provides effective user support including:

· Able to analyze Incidents and inquiries from others regarding errors, problems, or questions about system processes or configuration in a timely manner.

· Effectively researches troubleshooting and provides system improvement opportunities using the various vendor support portals or processes.

· Responds to all off-hour calls regarding D&A, specifically data issues in a prompt and reasonable timeframe. Responsible for being accessible to receive off-hour calls by carrying a functioning cell phone at all times, except when on vacation, to facilitate prompt problem resolution.

10%

4

Stays abreast of the latest technological and strategic developments in the Data Governance, Data Management, and Analytics arena.

10%

Your Education and Experience.

  • Bachelor's degree in Computer Science or related field from four-year college or university with an emphasis on Data Engineering or Data Science.
  • 1 – 2 years relevant experience with preference of at least 1 year of data engineering and modeling experience.
  • Good ability to understand techno-functional concepts and abstract reasoning.
  • Experience with SQL programming, Snowflake, Matillion systems and S4/HANA data preferred.
  • Knowledge of Python programming is a plus.
  • Working and engaging in an Agile team environment a plus. 

Our Story.
With over 2,400 employees and net sales of $1.8 billion, Sargento Foods is a family-owned company that has been a leader in cheese for more than 70 years. We created the world’s first, successful pre-packaged sliced and shredded natural cheeses. Sargento is based in Plymouth, Wisconsin, where we manufacture and market shredded, sliced and snack natural cheese products, as well as ingredients and sauces. Sargento is known for the exceptional quality of our products and for product design, packaging and merchandising innovations that have transformed our industry.

To learn more about our culture and values, please visit our website at https://careers.sargento.com/us/en.

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Job Summary

JOB TYPE

Full Time

INDUSTRY

Wholesale

SALARY

$109k-134k (estimate)

POST DATE

04/07/2024

EXPIRATION DATE

06/06/2024

WEBSITE

sargento.com

HEADQUARTERS

NEW GLARUS, WI

SIZE

1,000 - 3,000

FOUNDED

1953

TYPE

Private

CEO

CHRIS HARRIS

REVENUE

$1B - $3B

INDUSTRY

Wholesale

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About Sargento Foods

Sargento Foods is a producer of cheese in American.

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