Description

You will design and manage data pipelines within the Google Cloud Platform environment.

Responsibilities

• Design and implement ETL processes and data transformations using SQL and scripting languages.
• Develop real-time data streaming solutions using GCP Pub/Sub and Apache Beam.
• Manage data modeling, ensuring data governance, security, and compliance within GCP.
• Troubleshoot data pipeline issues and optimize cloud-native architectures.
• Collaborate within an Agile/Scrum environment to deliver data engineering solutions.

Required Skills

• 5+ years of experience as a data engineer with a focus on GCP.
• Proficiency in BigQuery, Dataflow, Cloud Storage, Pub/Sub, and Firestore.
• Strong experience with data modeling and ETL development.
• Hands-on experience with SQL and scripting languages.
• Knowledge of cloud-native architectures and containerization using Docker and Kubernetes.
• Bachelor's or Master's degree in Computer Science, Information Science, Electrical Engineering, or a related field.

Preferred Skills

• GCP Professional Data Engineer certification.
• Experience with GCP ML services, machine learning pipelines, Apache Spark, or Hadoop.
• Knowledge of data visualization tools and techniques.

Key Skills

Education

Master's degree