Data Engineer (GCP)
Location: 100% remote
Tasks:
Working with Cloud Storage to manage and organize data
Creating datasets and tables in BigQuery
Managing data transfers, scheduling, and using BigQuery Notebook (Python/API)
Building and automating data pipelines using cloud services
Scheduling event‑driven tasks
Writing Python scripts for data uploads, transformations, and automation
Using API requests to extract and integrate data from external sources
Writing SQL queries for joining tables, filtering, aggregating, calculating, and modifying data
(Optional) Creating data models from multiple data sources for analytics
(Optional) Building dashboards and visualizations in Tableau or Power BI
Requirements:
Experience with Google Cloud Platform (ideally Google, but AWS/Azure acceptable)
Proficiency in Cloud Storage management
Strong BigQuery skills including dataset/table creation, scheduling, data transfers, and Notebook use
Experience with building and automating data pipelines
Python skills for data upload, transformation, and automation scripting
Experience working with APIs for data extraction and integration
Strong SQL skills (joins, filtering, aggregations, calculations, data modification)
Tableau/Power BI skills are optional, as these can be taught
Offer:
Multisport card
Private healthcare
Access to an e‑learning platform
Group life insurance
Data Engineer (GCP)
Data Engineer (GCP)