Grow your career at Adastra as a Data Engineer in Toronto, specializing in scalable data solutions and advanced analytics. Contribute to cloud-based projects that enhance decision-making processes.As a key player in this hybrid role, you'll leverage 5+ years of Data Engineering experience. You'll develop high-performing ETL/ELT processes using PySpark, optimizing data pipelines for both structured and semi-structured data. Collaborate with analysts and scientists to enable robust data-driven initiatives.Key Responsibilities:Design and optimize ETL/ELT pipelines for data processingUtilize Spark for data transformations and aggregationsBuild ingestion frameworks for APIs, databases, and streamsImplement quality controls and monitoring for data reliabilityEngage with teams to support seamless data accessRequirements:Bachelor's degree in a relevant field5+ years of experience in Data Engineering3+ years with PySpark or Apache SparkSolid skills in SQL and PythonExperience with cloud technologies like S3 and HDFSDrive innovation in data engineering and analytics at Adastra.#J-18808-Ljbffr

📌 Data Engineer Specializing In Advanced Analytics (Markham)
🏢 Adastra
📍 Markham