Senior Data Analyst
4 semanas atrás
Our client is a leading provider of technical expertise for the global food and agricultural industry. Their mission is to ensure food safety, quality, and sustainability in international supply chains.
This role is critical in building, maintaining, and modernizing data pipelines that process large-scale regulatory data from around the world, transforming it into usable datasets for downstream applications and APIs.
The successful candidate will work closely with Python, SQL, and related tools to untangle legacy code, migrate processes to maintainable platforms, and ensure data accuracy and reliability for client-facing products.
Required Qualifications:
- A minimum of years experience using Python for analyzing, extracting, creating, and transforming large datasets.
- Proficiency in Python common libraries and tools, specifically Pandas, NumPy, and Jupyter Notebooks.
- Deep experience in SQL relational databases, including Oracle, Postgres, and MS SQL Server.
- A solid understanding of database design principles, data modeling, and data warehousing concepts.
- Excellent troubleshooting skills and instincts.
- A curious and self-motivated individual who is comfortable working in an Agile software development team with short iterative delivery cycles.
- A college degree or equivalent experience in computer science, software development, engineering, information systems, math, or a related field.
Preferred Qualifications:
- NoSQL database design and development, including MongoDB, AWS DynamoDB, Azure Cosmos DB.
- Familiarity with cloud platforms, including AWS, Azure, GCP services related to data storage and processing.
- Exposure to Terraform infrastructure code tooling.
- Proficient in Azure DevOps source code pipeline management.
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