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Senior Data Engineer

  • Full Time, onsite
  • Lorven Technologies, Inc.
  • On Site, United States of America
Salary undisclosed

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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.

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
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