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 PySparkOptimize Spark jobs for large-scale data transformationsBuild data ingestion frameworks from various sourcesImplement automated data quality checks and monitoringMaintain workflow orchestration with tools like AirflowRequirements:Bachelor's degree in a related field5+ years in Data Engineering or Big Data3+ years of hands-on PySpark experienceProficient in Python and SQLExperience with cloud data platforms including SnowflakeDrive impactful data engineering solutions and collaborate with top talent at Adastra.#J-18808-Ljbffr

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