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 (Ontario)
🏢 Adastra
📍 Ontario
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