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.

📌 Data Engineer Specializing in Advanced Analytics (Markham)
🏢 Adastra
📍 Markham