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Data Engineer (Azure Databricks)

Формат работы
remote (только Colombia)
Тип работы
fulltime
Грейд
middle
Английский
b2
Страна
Colombia
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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TL;DR
Data Engineer (Azure Databricks): Designing and maintaining scalable data pipelines for enterprise analytics, business intelligence, and real-time data integration with an accent on Azure Databricks, Apache Spark, CDC, and Azure data platforms. Focus on building production ETL/ELT workflows, optimizing distributed data processing, ensuring data quality, and supporting downstream Power BI and AI/ML use cases.

Location: Remote in Colombia

Company

hirify.global partners with global enterprises in North and South America to deliver digitization, automation, and next-generation digital products and services.

What you will do

  • Design, build, and maintain scalable data pipelines using Azure Databricks and Apache Spark.
  • Develop and optimize production ETL/ELT processes with Azure Data Factory, Azure Databricks, and Databricks Workflows.
  • Implement change data capture solutions for real-time and near-real-time synchronization using Azure SQL CDC, Debezium, or Databricks native CDC through Delta Live Tables.
  • Write Python code for data processing and automation, and collaborate with data architects and analysts to translate business requirements into pipeline designs.
  • Monitor, troubleshoot, and optimize pipeline performance, reliability, data quality, and cost efficiency across Azure Monitor and Databricks observability tools.
  • Support structured and unstructured data integration, analytics and reporting with Power BI, downstream AI/ML use cases, code reviews, documentation, and engineering best practices.

Requirements

  • 3+ years of experience in data engineering or a related field.
  • Strong hands-on experience with Azure Databricks and proficiency with Apache Spark for large-scale distributed data processing.
  • Experience implementing CDC solutions and tools such as Debezium, Azure SQL CDC, or Delta Live Tables.
  • Strong Python programming skills for data engineering tasks.
  • Solid understanding of SQL and relational database concepts, particularly Azure SQL Database or SQL Managed Instance.
  • Experience building and maintaining production ETL/ELT pipelines using Azure Data Factory and/or Databricks Workflows.
  • Understanding of data modeling and data warehousing concepts, including dimensional and lakehouse modeling in Azure Synapse Analytics.
  • Strong analytical and problem-solving skills.
  • Good communication skills and the ability to work across technical and business teams.

Culture & Benefits

  • Remote work arrangement in Colombia.
  • Collaboration with cross-functional, technical, and business teams.
  • Equal opportunity employment.
  • Reasonable accommodations are available for candidates with disabilities or medical needs during the recruitment process.

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