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.

📌 Senior Data Engineer At Adastra Markham (Canada)
🏢 Adastra
📍 Canada