Description

Build and maintain scalable data pipelines within the Google Cloud Platform ecosystem.

This role is remote.

Responsibilities

• Design and implement secure data pipelines using BigQuery, Dataflow, Pub/Sub, Cloud Storage, and Cloud Composer.
• Build ingestion processes for structured and unstructured data from APIs, files, and databases.
• Develop ETL/ELT frameworks to deliver accurate datasets to analytics and business teams.
• Optimize data storage and querying performance across GCP storage services.
• Automate data quality checks, monitoring, and alerting for production workflows.

Required Skills

• 3+ years of experience in data engineering, including 1–2 years focused on GCP.
• Hands-on experience with BigQuery, Dataflow (Apache Beam), Pub/Sub, Cloud Storage, and Cloud Composer.
• Proficiency in SQL, Python, and/or Java for pipeline development.
• Experience with orchestration tools like Apache Airflow and CI/CD pipelines.
• Strong understanding of data modeling, data warehousing, and distributed computing.
• Familiarity with modern data lake and data mesh architectures.
• Bachelor’s degree in Computer Science, Engineering, Information Systems, or a related field.

Preferred Skills

• Experience maintaining technical documentation for data flows, architecture, and design decisions.

Key Skills

Education

Any Graduate