Description

You will design and maintain scalable lakehouse architectures and data pipelines.

Responsibilities

• Architect and maintain lakehouse platforms using Delta Lake, Apache Iceberg, or Hudi.
• Develop and optimize batch and streaming ETL pipelines using Spark.
• Implement data lakehouse design patterns and modern data architectures.
• Build and manage data workflows across multi-cloud environments.

Required Skills

• 5+ years of experience in data engineering.
• Proficiency in Python and SQL.
• Hands-on experience with Databricks and Snowflake.
• Experience working within AWS and GCP environments.
• Expertise in Spark for ETL development.
• Proven ability in Lakehouse architecture.
• Degree in any graduate field.

Key Skills

Education

Any Graduate