Data Engineer III

Boar's Head Brand • Sarasota, FL

1d • Onsite

About The Position

A Boar’s Head Oracle Applications Data Engineer is a key part of the Enterprise Applications team and is responsible for developing and delivering innovative solutions aligning with the organization’s goals. The role focuses on maintaining scalable, reliable, consistent, and repeatable systems that efficiently provide data for company-wide analytics and operations. A Data Engineer must be self-directed and comfortable supporting the data needs of multiple teams, systems, and products.

Requirements

• Deep understanding of Oracle E-Business Suite EBS application schemas and architecture
• Demonstrated ability to extract and transform EBS data for delivery to external systems.
• Expertise with SQL and PL/SQL
• Proficiency with 1-2 additional programming languages (preferably Java or Python) is required
• Ability to clearly document technical processes, instructions, and project reports
• Demonstrated ability in testing software or hardware systems and efficiently resolving issues is required.
• Bachelor’s degree in a tech-related field such as computer science or software engineering or a related field.
• Minimum of 6 years of experience in a role equivalent to Oracle Applications Developer or Data Engineer.
• Oracle EBS/dB – Extensive knowledge of Oracle dB, Oracle ERP and SQL required

Nice To Haves

• Experience in a CPG Manufacturing company utilizing Oracle E-Business Suite is a significant plus
• Any experience with OPM should be explained and highlighted in the 1st section of the Resume submission
• Anaplan Experience (integration or modeling) is a significant plus
• Proficiency in Java
• Proficiency in Clickhouse
• Proficiency in Tableau
• Proficiency in Salesforce
• Industry knowledge of any aspect of Supply Chain Planning is a plus
• Experience in data quality, data observability, data governance, data integrity, data analytics and validation is a plus

Responsibilities

• Developing and delivering innovative solutions aligning with the organization’s goals.
• Maintaining scalable, reliable, consistent, and repeatable systems that efficiently provide data for company-wide analytics and operations.
• Supporting the data needs of multiple teams, systems, and products.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level