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Data Engineer

hace 2 meses

Cancún, Quintana Roo, México Sequoia Connect A tiempo completo
About the Role

We are seeking a highly skilled Data Engineer to join our team at Sequoia Connect. As a Data Engineer, you will be responsible for designing, building, and maintaining large-scale data processing systems.

Key Responsibilities
  • Design and implement ETL (Extract-Transform-Load) procedures for current and historical data from multiple internal and external data sources.
  • Develop and maintain automatic pipelines to ingest data continuously.
  • Curate and store data in a structured way for future reference and develop a data schema.
  • Deploy cloud resources that support data engineering and ML Ops pipelines.
  • Set up CICD pipelines for data engineering and ML Ops projects.
Requirements
  • Fluent in Python and packages related to data processing, such as pandas.
  • Fluent in object-oriented programming with Python.
  • Familiar with database technologies/SQL, data warehouses, and related concepts.
  • Experience with cloud-based data technologies, including Databricks, Azure Data lake, Azure Data Explorer (ADX).
  • Experience with the development of APIs in front of various data technologies.
Desired Skills
  • Fluent in front-end development and deployment of single-page applications in one or more Javascript frameworks.
  • Relational database – Azure SQL & Oracle. No SQL databases- MongoDB and/or Cosmos DB
  • Exam AZ-900: Microsoft Azure Fundamentals certification
Language Skills
  • Advanced Oral English.
  • Native Spanish.