Description

You will design, build, and maintain large-scale data products on Google Cloud Platform.

This role is on-site.

Responsibilities

• Design and develop big data applications using open-source technologies.
• Automate data workflows with Apache Airflow and build pipelines using Hive, Spark, and Kafka.
• Create logical and physical data models for distributed data platforms.
• Lead daily standups, design reviews, and backlog grooming using JIRA.
• Mentor junior engineers and serve as the primary technical contact for assigned business domains.

Required Skills

• 5+ years of experience developing data warehouse solutions and data products.
• 5+ years building distributed data processing platforms using Hadoop, Hive, Spark, or Airflow.
• 2+ years of recent GCP experience, specifically with Dataproc, GCS, and BigQuery.
• 2+ years designing schemas for data lakes or RDBMS platforms.
• Proficiency in Python, Java, or Scala.
• Experience with scripting languages such as Perl or Shell.
• Experience managing large-scale datasets at multi-TB or PB scale.
• Background in Scrum/Agile methodologies and test-driven development.

Preferred Skills

• Bachelor's degree in Computer Science or equivalent experience.

Key Skills

Education

Bachelor's degree