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

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