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 professional 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 effective 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 datasetsRequirements:
- 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 LakeBring your cloud expertise and drive impactful data solutions at Adastra.#J-18808-Ljbffr

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