Description

You will build and maintain data pipelines for analytics workflows using PySpark and Databricks.

Responsibilities

• Build and maintain scalable data pipelines using PySpark.
• Develop and optimize ETL processes for large-scale data movement.
• Execute data engineering tasks within the Databricks environment.
• Support data analytics initiatives through efficient data architecture.

Required Skills

• 5+ years of experience in data engineering roles.
• Strong proficiency with Databricks.
• Hands-on experience with PySpark.
• Practical knowledge of ETL processes.
• Experience with Big Data technologies.
• Understanding of Data Analytics workflows.
• Bachelor's degree or equivalent in any field.

Key Skills

Education

Any Graduate