Data Engineer Role - ETL & Cloud Focus

Take the next step in your career as a Data Engineer in Toronto, ON, where you will leverage your expertise in ETL and cloud data solutions in a hybrid work model. Be part of a team that thrives on innovation. This position requires a Data Engineer with 6-8 years of experience who is adept at developing scalable ETL pipelines using modern big data tools. Your role will involve writing efficient SQL queries and integrating various data applications. Agile methodology and CI/CD practices, including Git and Jenkins, are fundamental to your work. Key Responsibilities: • Design and construct scalable ETL pipelines and data models • Maintain and enhance large-scale data applications • Write and optimize SQL queries for data efficiency • Utilize Airflow or Azure Data Factory for streamlined workflows • Integrate APIs as part of CI/CD processes using Git, Jenkins Requirements: • 6-8 years of experience in Data Engineering • Strong skills in Python (PySpark, Pandas) or Java • Proficient in SQL for data processing • Familiarity with Databricks or Snowflake • Cloud experience with Azure or GCP environments Employ your skills in Python, ETL, and cloud solutions to contribute to impactful data engineering projects in Toronto. #J-18808-Ljbffr

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