Data Engineer, Databricks

Posted 7hrs ago

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Job Description

Data Engineer overseeing data operations and solutions within Azure cloud environments. Collaborating on Databricks and ensuring reliable data processes and governance practices.

Responsibilities:

  • Maintain data environments and processes in Azure and on-premises, ensuring continuous and reliable operation;
  • Perform advanced administration and support for Databricks (Azure), including troubleshooting and operational tuning;
  • Monitor and track pipelines, jobs, integrations, and data routines with a preventive and corrective approach;
  • Implement fixes and improvements to existing processes, focusing on root cause analysis and recurrence reduction;
  • Lead incident management and resolution (SLA, prioritization, communication, follow-up until stabilization);
  • Support BI and development teams, ensuring environments are ready for new releases and demands;
  • Continuously evolve and improve DataOps/CI-CD pipelines for data (governance, quality, and reliability);
  • Collaborate with infrastructure and architecture teams when needed (capacity, access, security, network, performance);
  • Ensure adherence to best practices for security, governance, and compliance in the data context;
  • Propose and implement improvements to observability, monitoring, and alerts (metrics, logs, traceability).

Requirements:

  • Senior experience in Data Engineering with a focus on support/operations (not only greenfield projects);
  • Strong experience with Databricks, including troubleshooting and maintaining jobs/pipelines;
  • Experience in cloud environments, preferably Microsoft Azure;
  • Experience supporting pipelines, integrations, and data processes in production;
  • Knowledge of monitoring, incident management, and problem management (SLA, prioritization, response, and post-incident).