Join Adastra as a Lead Data Engineer in Toronto, specializing in cutting-edge data platforms and cloud technologies. Drive data transformation and harness advanced analytics to support business growth.

This hybrid position demands a seasoned skilled with 5+ years of experience in ETL/ELT development and strong PySpark proficiency. You'll work with a diverse team to optimize data pipelines, improve performance, and ensure data quality across platforms. Collaborate to achieve clean, actionable datasets vital for decision-making.

Key Responsibilities:
• Develop and maintain efficient ETL/ELT data pipelines
• Optimize Spark jobs and enhance application performance
• Create frameworks to integrate diverse data sources
• Troubleshoot pipeline issues and monitor processes
• Engage with stakeholders to provide curated datasets

Requirements:
• Degree in Computer Science, IT, or Engineering
• Over 5 years in Data Engineering or similar roles
• 3+ years focusing on PySpark and Apache Spark
• Proficient in SQL and Python
• Familiar with technologies like Snowflake and Delta Lake

Bring your cloud expertise and drive impactful data solutions at Adastra.
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📌 Lead Data Engineer with Cloud Focus (Ontario)
🏢 Adastra
📍 Ontario