Elevate your data engineering career with Adastra as a Senior Data Engineer in a hybrid work model. You'll design scalable data pipelines, optimize ETL processes, and support advanced analytics initiatives.
As a Senior Data Engineer, you will build and maintain high-performance ETL/ELT solutions using PySpark and integrate data platforms to enhance business insights. Collaborating with data scientists and business stakeholders, you'll create reliable datasets that drive informed decision-making.
Your expertise in cloud data technologies will be key in transforming structured and semi-structured data efficiently.
Key Responsibilities:
- Design scalable ETL/ELT pipelines using PySpark
- Optimize Spark jobs for large-scale data transformations
- Build data ingestion frameworks from various sources
- Implement automated data quality checks and monitoring
- Maintain workflow orchestration with tools like Airflow
Requirements:
- Bachelor's degree in a related field
- 5+ years in Data Engineering or Big Data
- 3+ years of hands-on PySpark experience
- Proficient in Python and SQL
- Experience with cloud data platforms including Snowflake
Drive impactful data engineering solutions and collaborate with top talent at Adastra.
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📌 Senior Data Engineer at Adastra (Markham)
🏢 Adastra
📍 Markham
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