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 developmentExperience with Databricks, Azure Cloud PaaS Services, Azure Data Factory, ADLS, Kubernetes, GitHub, Docker, and CI/CD workflowsStrong 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 DerivativesExperience building large-scale, reliable data pipelines and distributed systemsFamiliarity ...