Build scalable pipelines with Python and Google Cloud as a Senior Data Engineer focused on reliable data processing and integration. Work across modern cloud platforms.

At TechBlocks, this senior-level role develops enterprise data solutions using Apache Airflow, Apache Spark, and Apache Beam. You will expand a data platform, apply SQL and warehousing concepts, and collaborate with data scientists, engineers, and cross-functional teams. The work supports high-performing, scalable cloud-native applications.

Key Responsibilities:

- Build data pipelines using up-to-date data engineering technologies
- Integrate machine learning models into reliable data processing
- Expand the enterprise data platform
- Develop applications on Google Cloud infrastructure




- Support scalable and reliable data solutions

Requirements:

- 8+ years in Big Data and Data Engineering
- Python, Apache Airflow, Apache Spark, and Apache Beam experience
- SQL and data warehousing knowledge, including PostgreSQL and BigQuery
- Enterprise application experience in public cloud environments
- Bachelor's degree or equivalent education and experience

Bring senior data engineering expertise, cloud-native pipeline development, and Google Cloud experience to TechBlocks' enterprise platform.

📌 Senior Google Cloud Data Engineer (Vaughan)
🏢 TechBlocks
📍 Vaughan