Senior Data Engineer – Databricks / Azure

Senior Data Engineer – Databricks / Azure

Senior Data Engineer – Databricks / Azure

Workana

Brazil

2 horas atrás

Nenhuma candidatura

Sobre

  • About Our Client
  • Johnson & Johnson is one of the world’s most respected and innovative healthcare companies, dedicated to improving the health and well-being of people everywhere. With a global presence across pharmaceuticals, medical devices, and consumer health, J&J is known for combining science, technology, and design to deliver impactful solutions.
  • About the Role
  • We’re looking for a Databricks Expert Engineer with strong experience in the Azure ecosystem to support a high-impact project. This is a contractor role through Workana, starting ASAP, with a 3–4 month initial contract and strong potential for extension.
  • What You’ll Do
  • Design, build, and optimize Databricks pipelines in an Azure environment
  • Develop reliable ETL/ELT workflows using PySpark / Spark SQL
  • Implement and maintain data ingestion from multiple sources (APIs, DBs, cloud storage, etc.)
  • Improve performance, scalability, and cost-efficiency of Databricks workloads
  • Work with stakeholders to translate business needs into technical solutions
  • Ensure best practices around data quality, monitoring, documentation, and maintainability
  • Collaborate with cross-functional teams (data engineering, analytics, product, etc.)
  • Proven experience as a Databricks Engineer (expert-level)
  • Strong hands-on work in Azure Databricks
  • Advanced Spark / PySpark and SQL
  • Experience with Azure Data Lake / Blob Storage and Azure-native data workflows
  • Solid understanding of data engineering fundamentals (batch processing, orchestration, data modeling basics)
  • Comfortable working independently in fast-moving, delivery-focused projects
  • English communication skills (written + verbal) for working with global teams
  • Nice to Have
  • Experience with Delta Lake and lakehouse patterns
  • Familiarity with orchestration tools (e.g., ADF, Airflow, etc.)
  • CI/CD exposure for data pipelines (Azure DevOps, Git-based workflows)
  • Experience supporting analytics/reporting or downstream ML use cases
  • Fully remote contractor role (LATAM-friendly)
  • Opportunity to work with a global healthcare leader
  • High chance of extension after the initial contract