Senior Data Engineer

Overview

Sojo Industries is a fast-growing industrial automation company revolutionizing the food and beverage industry with advanced robotics, mobility, and modular packaging solutions. We operate state-of-the-art facilities in Pennsylvania, California, Texas, and Indiana, supporting a thriving business with Fortune 500 customers.

In March 2024, we launched Sojo Shield, our custom Dock-to-Dock, Blockchain-enabled track and trace platform. Version 1.0 provides real-time traceability and FDA-compliant reporting, integrating physical and virtual worlds to enhance efficiency and transparency in the supply chain.

We are aggressively expanding and seeking dedicated, innovative individuals to join our team. Our seasoned executives and operators from the food and beverage industry serve top-tier brands, distributors, and manufacturers.

Join us at the forefront of industrial automation and help scale our Sojo Shield team as we continue to grow and innovate.

Job Overview We are looking for a highly skilled and experienced Senior Data Engineer to join our Engineering team. The successful candidate will play a crucial role in ensuring that we have all the data necessary to build our supply chain planning AI. This is an exciting opportunity to work in a hybrid role, combining the flexibility of remote work with the benefits of in-person collaboration in our Israel office.

Key Responsibilities:

• Design, develop, and maintain data pipelines and architectures to support supply chain planning AI.
• Manage and process large volumes of data, ensuring data quality, integrity, and security.
• Collaborate with cross-functional teams to understand data requirements and deliver effective data solutions.
• Implement and optimize data storage solutions, ensuring high performance and scalability.
• Develop and maintain documentation for data processes and architectures.
• Stay updated with the latest trends and technologies in data engineering and supply chain management.

Required Skills and Qualifications:

• Bachelor's degree in Computer Science, Engineering, or a related field.
• Minimum of 5 years of experience in data engineering or a related role.
• Proficiency in Typescript / Python and its data-related libraries (e.g., Pandas, NumPy, etc.).
• Strong experience with databases (SQL and NoSQL).
• Proven experience in managing and processing large datasets.
• Familiarity with data pipeline and workflow management tools.
• Excellent problem-solving skills and attention to detail.
• Strong communication skills and the ability to work collaboratively in a team environment.

Preferred Skills:

• Experience with cloud-based data storage and processing solutions (e.g., AWS, Google Cloud, Azure).
• Knowledge of supply chain management and related data needs.
• Experience with machine learning and AI frameworks.

What We Offer:

• Competitive salary and benefits package.
• Opportunity to work in a dynamic and growing company.
• Flexible hybrid work environment.
• Opportunities for professional growth and advancement.

How to Apply: Interested candidates are invited to submit their resume. We are an equal opportunity employer and value diversity in our company.