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The Role:

  • Design, develop, and evolve scalable data solutions within cloud environments.
  • Build, maintain, and optimize data pipelines for processing and transforming large volumes of data.
  • Use Databricks, Python, PySpark/Spark, SQL, Delta Lake, and Lakehouse architecture to deliver robust solutions.

Requirements:

  • Strong hands-on expertise with Databricks and cloud-based data architecture.
  • Proven experience designing and evolving data pipelines with ETL/ELT processes.
  • Professional experience with Python, PySpark/Spark, SQL, and Delta Lake.

Benefits:

  • Permanent CLT employment contract with a 40-hour workweek and flexible hours.
  • Fully remote work and comprehensive health, dental, and life insurance.
  • Additional perks include meal/food allowance, Wellhub, TotalPass, learning platforms, and more.

Jobgether

The hiring company specializes in data engineering and cloud-based solutions, using Databricks and modern data technologies to build scalable data platforms. It fosters a collaborative culture with continuous learning, innovation, and autonomy for its employees.

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