Description

You will design and build large-scale data warehouse solutions and distributed data processing platforms.

This role is on-site.

Responsibilities

• Build and maintain data pipelines within the GCP ecosystem.
• Develop distributed data processing platforms using Hadoop, Hive, or Spark.
• Design and model schemas for data lakes and RDBMS platforms.
• Manage and process large-scale datasets at multi-TB and PB scales.
• Implement test-driven development and automated testing frameworks.

Required Skills

• 12+ years of experience developing data warehouse solutions and data products.
• 4+ years of recent experience with GCP, including Dataproc, GCS, and BigQuery.
• 6+ years of experience with Hadoop, Hive, Spark, or Airflow.
• 5+ years of experience in data lake or RDBMS schema design and modeling.
• Proficiency in Python, Java, or Scala.
• Experience with scripting languages such as Perl or Shell.
• Experience working within Scrum/Agile methodologies.

Preferred Skills

• Bachelor's degree.

Key Skills

Education

Bachelor's degree