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 efficient 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
- Strong 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