Data Pipeline Architect

Há 6 dias

Brasil beBeeDataEngineering Tempo inteiro R$120.000 - R$170.000

As a Data Engineer, you will be responsible for optimizing and modernizing data pipelines to drive business growth.

Key Responsibilities:
  • Design, develop, and maintain scalable data pipelines using Python, SQL, and Airflow.
  • Collaborate with cross-functional teams to architect innovative solutions that scale with our evolving data environment.
  • Ensure data accuracy, reliability, and readiness for client-facing products by troubleshooting gaps and implementing effective solutions.
Requirements:
  • 7+ years of experience in analyzing and transforming large datasets using Python.
  • Proficiency in Python 3+, Pandas, NumPy, Jupyter Notebooks, and common libraries.
  • Deep understanding of database design principles, data modeling, and data warehousing concepts.
Preferred Qualifications:
  • Experience with NoSQL database design using MongoDB, AWS DynamoDB, or Azure Cosmos DB.
  • Familiarity with cloud platforms (AWS, Azure, GCP) and services related to data storage/processing.
Benefits:
  • Opportunity to work with large-scale regulatory data from around the world.
  • Chance to collaborate with cross-functional teams and contribute to forward-looking solutions.

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