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

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