
Senior Data Architect
Há 3 dias
We are seeking a skilled data architect to design, develop, and maintain large-scale data pipelines that process regulatory data from around the world.
The engineer will work hands-on with Python, SQL, and related tools to create efficient data flows, migrate processes to more maintainable platforms, and ensure our data is accurate, reliable, and ready for client-facing products.
Key Responsibilities:- Design and develop scalable data architectures using Python, SQL, and related tools.
- Migrate legacy data pipelines to more maintainable platforms like Airflow.
- Ensure data accuracy, reliability, and readiness for client-facing products.
- Troubleshoot gaps in data pipelines and design forward-looking solutions.
Requirements:
- 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.
- 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.
- 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.
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