Data Engineer – Python, Java, PySpark, Pandas, ETL, Azure, GCP, Postgres, Oracle DB

Data Engineer – Python, Java, PySpark, Pandas, ETL, Azure, GCP, Postgres, Oracle DB Toronto, ON - Hybrid: 2-3 days in office Duration – 7Months Contract • 4+ years’ experience with Python (PySpark, Pandas), or Java years’ • 4+ experience with designing scalable ETL pipelines & data modeling • 4+ years’ experience developing, deploying, and maintaining large scale • 4+ applications with complex integration • 4 + years’ experience reading, writing, and running SQL scripts. • Working experience with data technologies and databases, preferably in one or more of: • Postgres, MSSQL, Oracle DB, Apache Spark, Apache Kafka, Apache ElasticSearch, comfortable working with large datasets • Working experience with data platforms: DataBricks or Snowflake Working experience with cloud platforms (Azure/GCP) • Working experience with workflow orchestration tool such as Airflow or Data Factory Working experience with Web Services & API • Hands-on experience with DevOps: CI/CD (Jenkins, Git) • Experience working in an agile environment, with experience and understanding of Test-Driven Development methodology. • Bachelor’s degree in computer science, Engineering or relevant experience. Preferred Qualifications (Nice to have) - Understanding of networking protocols and security principles - Capital Markets product knowledge - Dockers, Kubernetes experience - Experience working with real-time, high availability and low latency systems - Experience in multi-threaded applications Pay: $45.00-$50.00 per hour Work Location: Hybrid remote in Toronto, ON (Toronto District)

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