Grow your career at Adastra as a Data Engineer in Toronto, specializing in scalable data solutions and advanced analytics. Contribute to cloud-based projects that enhance decision-making processes.

As a key player in this hybrid role, you'll leverage 5+ years of Data Engineering experience. You'll develop high-performing ETL/ELT processes using PySpark, optimizing data pipelines for both structured and semi-structured data. Collaborate with analysts and scientists to enable robust data-driven initiatives.

Key Responsibilities:
• Design and optimize ETL/ELT pipelines for data processing
• Utilize Spark for data transformations and aggregations
• Build ingestion frameworks for APIs, databases, and streams
• Implement quality controls and monitoring for data reliability
• Engage with teams to support seamless data access

Requirements:
• Bachelor's degree in a relevant field
• 5+ years of experience in Data Engineering
• 3+ years with PySpark or Apache Spark
• Solid skills in SQL and Python
• Experience with cloud technologies like S3 and HDFS

Drive innovation in data engineering and analytics at Adastra.
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📌 Data Engineer Specializing in Advanced Analytics (Ontario)
🏢 Adastra
📍 Ontario