GCP Data Engineer
Core
Develop, test, and maintain data pipelines and ETL/ELT processes on Google Cloud Platform to turn raw data into actionable insights for banking, financial, and energy clients.
Role type
Mid-to-senior level GCP Data Engineer
Builds
Robust data pipelines, data models, and ETL/ELT processes
Domain
Financial services and Energy sectors on Google Cloud Platform
Deliverable
production ML models | product features | dashboards & analysis
Required skills
Python, SQL, Google Cloud Platform (GCP), BigQuery, Pub/Sub, Data Warehousing concepts, ETL/ELT processes
Preferred skills
Cloud Composer (Airflow), Dataflow, Cloud Functions, Git, Google Cloud certification
Technologies
Python, SQL, BigQuery, Pub/Sub, Cloud Composer, Dataflow, Cloud Functions, Git
Responsibilities
Develop, test, and maintain data pipelines and ETL/ELT processes; Write and optimize complex SQL queries in BigQuery; Assist in designing and implementing data models within the data warehouse; Troubleshoot and resolve issues in data pipelines and data quality; Contribute to documentation and adhere to data engineering best practices.
Seniority
Mid-to-senior level (5-8 years experience)
