[Mike] Senior Data Engineer

Job opening for residents of Brazil


Job Duties:

· 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.

This job description is not intended to be all-inclusive. Employees may be asked to perform additional tasks as required, that may or may not be related to their primary duties.

Required Qualifications:

· Minimum 7 years’ experience using Python for analyzing, extracting, creating, and transforming large datasets.

· Proficiency in Python 3+ and common Python libraries and tools for data engineering, specifically Pandas, NumPy, and Jupyter Notebooks.

· 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

Job Type: Full Time