Key skills
ApacheBigQueryCloudGoogle Cloud PlatformPythonSparkSQLData EngineeringData WarehousingData LakeApache SparkGoogle CloudCI/CDRemote Work
About this role
Role Overview
- Modern, scalable, and secure data architectures on Google Cloud Platform.
- High-performance data pipelines for ingestion, transformation, and data delivery.
- Analytical solutions for Data Lake, Data Warehouse, and Data Mart.
- Robust and optimized data models for analytical consumption and decision-making.
- Environments with governance, data quality, security, and compliance across the entire data lifecycle.
Requirements
- Proficient in SQL and best practices for Data Warehousing and BigQuery.
- Advanced knowledge of conceptual, logical, and physical data modeling.
- Strong experience in Data Engineering and analytical projects.
- Experience with Python and Apache Spark for data processing.
- Hands-on experience with the Google Cloud Platform ecosystem.
- Experience with CI/CD, source code versioning, and pipeline automation.
- Knowledge of modern data architectures.
Tech Stack
- Apache
- BigQuery
- Cloud
- Google Cloud Platform
- Python
- Spark
- SQL
Benefits
- Mental health support
- Continuous training
- Flexible working hours
- Remote work