Description

You will build and maintain data processing pipelines using Databricks and Spark.

Responsibilities

• Develop and optimize data workflows using Databricks.
• Containerize applications using Docker and deploy them on Kubernetes.
• Integrate data visualization tools like Tableau or Qlik Sense into data products.
• Manage and scale AWS infrastructure supporting data services.

Required Skills

• 5+ years of professional experience in data engineering.
• Expert proficiency in Databricks and Spark/Python.
• Hands-on experience with AWS services.
• Competence in containerization technologies (Docker, Kubernetes).
• Experience with data visualization tools (Tableau, Qlik Sense).
• Any Graduate degree required.

Key Skills

Education

Any Graduate