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 productive 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 Markham (Canada)
🏢 Adastra
📍 Canada