About FoodChain ID
At FoodChain ID, we are a global leader in food industry safety, compliance, and sustainability. We combine advanced technology, regulatory expertise, and laboratory testing experience to ensure that companies worldwide meet quality and compliance requirements.
Job Responsibilities
- Use Python and SQL to efficiently create, extract, transform, and optimize very large datasets.
- Troubleshoot data and data processes and develop solutions for improvement.
- Develop and maintain data models, schemas, and documentation.
- Contribute as a hands-on engineer while sometimes taking the lead in technical design and solutions.
- Collaborate daily with data scientists, food scientists, product owners, team members, API developers, architects, and DevOps engineers.
- Advise other developers, both junior and senior, and share best practices.
Required Qualifications
- Minimum 7 years’ experience using Python for analyzing, extracting, creating, and transforming large datasets.
- Proficiency in Python 3+ and common Python libraries for data engineering and data science, specifically Pandas, NumPy, and SciPy.
- Deep experience with SQL and relational databases such as Oracle, Postgres, or MS SQL Server.
- Solid understanding of database design principles, data modeling, and data warehousing concepts.
- Excellent troubleshooting skills and instincts.
- Curious, self-motivated, and self-directed; comfortable working within an Agile development team with short, iterative delivery cycles.
- College degree or equivalent experience in computer science, software development, engineering, information systems, math, food science, or a related field.
Preferred Qualifications
- NoSQL database design and development using MongoDB, AWS DynamoDB, or Azure CosmosDB.
- Familiarity with cloud platforms (e.g., AWS, Azure, GCP) and related data storage/processing services.
- Exposure to Terraform or other Infrastructure-as-Code tools.
- Proficiency in Azure DevOps for source code and pipeline management.
Additional Details
Location: Remote + CLT
Job Type: Full Time