Elevate your data engineering career with Adastra as a Senior Data Engineer in Toronto. Focus on designing scalable data pipelines and optimizing cloud-based platforms for advanced analytics and AI.
In this hybrid role, you’ll collaborate with data architects and scientists to deliver high-quality data solutions. With over 5 years of experience in Data Engineering, you'll utilize robust PySpark skills to develop productive ETL/ELT processes.

Be a key player in driving data-driven decision-making and enhancing operational capabilities.

Key Responsibilities:
Design and maintain scalable ETL/ELT pipelines using PySpark
Optimize Spark jobs for large-scale data transformations
Build reusable data ingestion frameworks from various sources
Implement automated data quality checks and monitoring
Collaborate with stakeholders for curated datasets

Requirements:
Bachelor's in Computer Science or related field
5+ years in Data Engineering or Big Data
3+ years with PySpark and Apache Spark
Robust in Python and SQL
Experience with cloud data technologies like Snowflake or Redshift

Embrace your expertise in data engineering and make an impact at Adastra.
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📌 Senior Data Engineer At Adastra Markham
🏢 Adastra
📍 Markham