Data Engineer responsible for designing, building, and maintaining infrastructure for data handling at Avanquest. Focused on ensuring data accessibility and reliability for data scientists and analysts.
About the role
- Hiring Data Engineer for hybrid role in Toronto. Requires 4+ years in Python/Java development and building scalable ETL pipelines.
Responsibilities
- Join as a Data Engineer for an exciting project. Responsibilities include ETL development, data modeling, building scalable data pipelines, large-scale data processing and integrations, workflow orchestration, and API/web services integration.
Requirements
- Key Skills: Databricks, Python (PySpark, Pandas), Java, ETL Development & Data Modeling, SQL (Postgres, MSSQL, Oracle), Apache Spark, Kafka, ElasticSearch, CI/CD (Jenkins, Git), Azure/GCP. Core Experience: 4+ years in Python/Java development, 4+ years building scalable ETL pipelines, experience with large-scale data processing & integrations, hands-on with Databricks or Snowflake, workflow orchestration (Airflow or Data Factory), API/Web Services integration, Agile & Test-Driven Development. Nice to Have: Docker, Kubernetes, Capital Markets domain knowledge, networking & security fundamentals, real-time, high availability systems, multi-threading experience.
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