Senior Data Engineer
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We are currently looking for a strong Sr. Data Engineer for our client in Toronto (Hybrid)). Please find the detail description below. Kindly let me know your interest.
Job Title: Sr. Data Engineer
Location: Toronto (Hybrid)
Duration: Long term
Skills
Must have
Concepts: Data Mesh, Data Product - Basic
Data Pipelines: PySpark, Hudi, Iceberg, Airflow, EMR- Expert
Data Operations: Operational Excellence, monitoring, troubleshooting -Expert
Data Quality: Great Expectations, AWS Glue DQ, Deequ- Expert
Entitlements: AWS Lakeformation -Expert
Infrastructure: AWS Data Eng. Services (Glue, EMR, Athena etc.), AWS Compute Services (EC2, Lambda), AWS Storage Service (S3), cross-account IAM, RAM, MWAA, Step Functions, etc. - Knowledge
DevOps: Terraform, Git Actions - Expert
Metadata: Neptune, OpenLineage, Angular, DataZone -Knowledge
Consumption: AWS Athena, Trino - Expert
Other Tools: JupyterLab, Databricks
Good to have
SQL We are looking for experienced support whereby experience means comfortable working with production-level code and assets with clear understanding of DevOps and DataOps principles.