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 robust 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.

📌 Lead Data Engineer with Cloud Focus (Markham)
🏢 Adastra
📍 Markham