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.
* 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 the technical design and solution.
* 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 data using 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 software development team with short, iterative delivery cycles.
* College degree or equivalent experience in computer science, software development, engineering, information systems, math, food science, or other applicable field of study.
Preferred Qualifications:
* NoSQL database design and development using MongoDB, AWS DynamoDB, or Azure Cosmos DB.
* Familiarity with cloud platforms (e.g., AWS, Azure, GCP) and services related to data storage/processing
* Exposure to Terraform or other Infrastructure-as-Code tooling.
* Proficient in Azure DevOps for source code and pipeline management.
Location: Remote + CLT
Job Type: Full Time