Data Engineer

hace 4 días

Azcapotzalco, Ciudad de México W3Global A tiempo completo

Must

  • Design, build, and maintain scalable and efficient ETL/ELT data pipelines using Azure Data Factory and Azure Databricks.
  • Write complex, high-performance SQL queries and scripts for data extraction, transformation, and loading.
  • Implement data transformation logic using Python and PySpark (or Scala) within the Databricks environment.
  • Hands-on experience with Snowflake.
  • Ensure pipeline reliability, scalability, and performance through monitoring, alerting, and proactive maintenance.
  • Collaborate closely with data architects, analysts, and business stakeholders to understand data requirements and deliver actionable solutions.
  • Enforce data governance and security best practices, ensuring compliance with organizational and regulatory standards.
  • Optimize data storage, compute, and processing resources in the Azure ecosystem to reduce costs and improve efficiency.
  • Document data flows, processes, and technical designs clearly and effectively.
  • Contribute to code reviews, technical discussions, and mentorship of junior engineers.
  • Bachelor's degree in computer science, Engineering, Information Systems, or a related technical field.
  • 10 to 15 years of professional experience as a Senior Data Engineer
  • Strong hands-on experience with Azure Data Factory and Azure Databricks.
  • Proficiency in Python and SQL for data processing and scripting.
  • Working experience with PySpark and/or Scala in distributed data processing.
  • Solid understanding of ETL/ELT methodologies and best practices.
  • Experience designing and managing data solutions in a cloud environment (Azure preferred).
  • Proficient knowledge in Data Modeling and Data Warehousing.
  • Expertise in DevOps processes.

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