Description

You will design and architect end-to-end data solutions within the GCP ecosystem.

Responsibilities

• Design end-to-end data solutions using BigQuery, Dataflow, Pub/Sub, Cloud Storage, and Dataproc.
• Build and optimize scalable ETL/ELT pipelines for data ingestion, transformation, and processing.
• Implement data modeling best practices for both structured and unstructured data sources.
• Automate infrastructure using Terraform or Deployment Manager for repeatable deployments.
• Monitor pipeline performance, troubleshoot issues, and optimize for cost-efficiency.

Required Skills

• 6+ years of experience in data engineering with 2+ years in a cloud architecture role.
• Deep expertise in GCP services including BigQuery, Dataflow, Pub/Sub, Cloud Functions, and GCS.
• Strong proficiency in SQL, Python, and/or Java.
• Experience with Apache Beam, Apache Spark, or other distributed data processing frameworks.
• Hands-on experience with Terraform or other Infrastructure as Code (IaC) tools.
• Solid understanding of data warehousing, data lakes, and streaming/batch processing.
• Knowledge of data security and compliance practices such as GDPR or HIPAA.
• Bachelor's or Master's degree in Computer Science, Engineering, or a related field.

Key Skills

Education

Bachelor's degree