
Senior Data Engineer
Há 13 horas
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
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