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 Markham
🏢 Adastra
📍 Markham