Data Engineer Azure

hace 14 horas


Xico, México Laagencia A tiempo completo
Job Title: Data Engineer Azure

Job Summary:

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

Key Responsibilities:

  • Design and implement data ingestion pipelines from diverse data sources using Azure Data Factory, Azure Databricks, and other ETL tools.
  • Develop scalable and reusable self-service frameworks for data ingestion and processing.
  • Design, construct, and administer SQL Server databases within the Azure cloud environment.
  • Assess and implement best practices for data manipulation.
  • Develop and maintain Azure Data Factory pipelines.
  • Integrate end-to-end data pipelines to facilitate the seamless transfer of data from source to target data repositories, ensuring data quality and consistency.

Requirements:

  • Over 3 years of Azure development experience.
  • Proficiency in cloud-based solutions.
  • Comprehensive understanding and practical experience with GIT.
  • Familiarity with Microsoft ETL tools, including Azure Databricks, Azure Data Factory, Data Lake, and SSIS.
  • Hands-on experience with both structured and unstructured data.
  • Proficiency in utilizing ARM templates.
  • Proficient in working with JSON.
  • Good grasp of Azure DevOps or Jira.
  • Knowledge of SQL.
  • Effective communication skills, capable of providing customers with technical insights and interpreting data for them.
  • Ability to work independently with a strong sense of ownership for assigned tasks.
  • Capability to work effectively in both independent and collaborative team environments, spanning cross-functional and cross-cultural settings.

Nice to Have:

  • Proficiency in data analysis programming, particularly in PySpark and SparkSQL, or a willingness to acquire this skill.
  • Comprehension of AAS (Azure Analysis Services).
  • Familiarity with Power BI.

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