Azure Data Engineer

hace 2 semanas

Ensenada, México Advancio, Inc A tiempo completo
Job Description

This is a remote position.

Job Overview:
We are seeking a highly skilled Azure Data Engineer with extensive experience in Databricks, PySpark, and Spark SQL to join our team. The ideal candidate will be responsible for designing, developing, and maintaining large-scale data solutions on Azure, with a focus on real-time and batch data processing using Databricks.



Requirements

Key Responsibilities:

  • Design, build, and maintain scalable data pipelines on Azure Databricks using PySpark and Spark SQL.
  • Develop and optimize ETL processes for handling large data sets.
  • Collaborate with data scientists, analysts, and other stakeholders to understand data requirements and implement solutions.
  • Ensure data quality, performance, and scalability by implementing best practices for coding and data architecture.
  • Create and manage data models, databases, and data lakes on Azure.
  • Monitor and troubleshoot data pipelines, ensuring high availability and reliability.
  • Implement security and compliance best practices in the data pipeline, following Azure standards.
  • Work with Azure services like Azure Data Factory, Azure Synapse, and Azure Blob Storage to orchestrate and manage data workflows.

Qualifications:

  • Bachelor's degree in Computer Science, Information Technology, or a related field.
  • 5+ years of hands-on experience with Azure Databricks.
  • Proficiency in PySpark and Spark SQL for building scalable data pipelines.
  • Solid understanding of Azure data ecosystem, including Azure Data Lake, Azure Data Factory, and Azure Synapse Analytics.
  • Experience with ETL processes, data modeling, and data architecture.
  • Familiarity with cloud security best practices and data governance.
  • Strong problem-solving and troubleshooting skills.
  • Excellent communication and collaboration skills.

Nice-to-Have:

  • Experience with CI/CD pipelines using tools like Azure DevOps.
  • Knowledge of Data Warehousing and Big Data technologies.
  • Experience with other programming languages like Python or Scala.
  • Familiarity with Machine Learning workflows on Databricks.


Requirements
Qualifications: 5+ years of experience in data technology roles Proficiency in SQL scripting and Azure ETL tools (Blob Storage, Azure Data Factory, Key Vaults) Hands-on experience with Snowflake Strong data modeling and ETL/ELT skills across various tools (ADF, BODS, Informatica, etc.) Knowledge of CI/CD and DevOps principles Experience in Agile development environments Proficiency in Azure Databricks Experience with Amazon Marketing Cloud (AMC) for data analysis and marketing insights Nice to Have: Python or JavaScript experience Exposure to Tableau or PowerBI for data visualization This role offers an opportunity to apply your technical expertise to make a lasting impact, enhance data-driven decision-making, and shape the future of our data solutions. Join us to help translate data into valuable insights that drive business success.

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