Job Description


ROLE: SENIOR DATA ENGINEER
TORONTO - HYBRID - FULLTIME

Primary Skills: Azure Cloud PaaS Services, Databricks, Azure Data Factory, ADLS, ETL tooling and orchestration ( NiFi, Griffin, Hamilton, Airflow), Git hub, Docker, DevOps CI/CD, NoSQL databases-Cassandra, MongoDB, Kubernetes

Secondary Skills: Java, SQL, Python for scripting and ETL (libraries like pandas, , PySpark, ibis)

JD:


  • - years of experience in data engineering, data analytics, or backend development

  • Experience with Databricks, Azure Cloud PaaS Services, Azure Data Factory, ADLS, Kubernetes, GitHub, Docker, and CI/CD workflows

  • Strong expertise in Python (Pandas, NumPy, Jupyter) and/or JVM languages (Scala/Java)

  • Knowledge of capital markets, including familiarity with asset classes such as Fixed Income, FX, or Derivatives

  • Experience building large-scale, reliable data pipelines and distributed systems

  • Familiarity ...

    • Ready to Apply?

    Take the next step in your AI career. Submit your application to E-Solutions today.

    Submit Application