Join Adastra in Toronto, ON as a Senior Data Engineer and transform data into actionable insights. Create scalable data pipelines and cloud platforms from a hybrid workspace.
The ideal candidate will possess significant experience in ETL/ELT development and will leverage contemporary technologies like PySpark. This role involves optimizing distributed data processing and orchestrating workflows in collaboration with cross-functional teams. Your contributions will enable data-driven decision-making across the organization.
Key Responsibilities:
• Develop and maintain ETL/ELT pipelines using PySpark
• Optimize Spark jobs for productive data transformation
• Build reusable data ingestion frameworks from APIs and databases
• Collaborate with stakeholders for clean dataset delivery
• Troubleshoot pipeline issues and ensure reliability
Requirements:
• Bachelor's in Computer Science or related field
• 5+ years in Data Engineering
• Solid experience with PySpark
• Proficient in Python and SQL
• Hands-on with workflow tools like Airflow
Become a key part of Adastra's data engineering team to drive innovation.
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📌 Hybrid Senior Data Engineer Role Markham (Canada)
🏢 Adastra
📍 Canada