Description

You will design and implement data engineering solutions focused on large-scale data processing and integration.

Responsibilities

• Design, develop, and implement data engineering solutions using Databricks for large-scale processing.
• Apply DataOps principles to optimize development and deployment workflows.
• Implement CI/CD and DevOps practices within data environments.
• Integrate complex data streams and manage data lake architectures.

Required Skills

• 4+ years of experience in data engineering roles.
• Expert-level proficiency with Spark, PySpark, and Scala.
• Strong experience with Python and Kafka.
• Hands-on experience managing Data Lakes.
• Proficiency in at least two major cloud platforms: AWS, Azure, or GCP.
• Experience implementing CI/CD and DevOps workflows for data.
• Degree in any field of study.

Key Skills

Education

Any Gradute