Azure Data Engineer

Role: Azure data engineer

Location-;Toronto, ON - Hybrid (4days) - Fulltime

Need 5-12+ yrs candidate

Mandatory Skills: Data Bricks - Data Engineering .

Job Description

Azure Data Factory , Azure Data bricks Spark (PySpark or scala), SQL

• Experience in Azure ingestion from on-prem source, e.g. mainframe, SQL server, Oracle.

• Experience in Sqoop / Hadoop

• Microsoft Excel (for metadata files with requirements for ingestion)

• Any other certificate in Azure/AWS/GCP and data engineering hands-on experience in cloud

• Strong Programming skills with at least one of Python, Scala or Java

• Strong SQL skills ( T-SQL or PL-SQL)

• Data files movement via mailbox

• Source-code versioning/promotion tools, e.g. Git/Jenkins

• Orchestration tools, e.g. Autosys, Oozie

• Source-code versioning with Git.

Nice-to-have skills

• Experience working with mainframe files

• Experience in Agile environment, JIRA/Confluence

Job Type: Full-time

Pay: $95,000.00-$110,000.00 per year

Experience:

• Azure: 10 years (required)
• DataBricks: 9 years (required)
• Data Factory: 9 years (required)
• ETL: 8 years (required)
• sql: 10 years (required)
• Spark (PySpark or scala: 8 years (required)
• Sqoop / Hadoop: 7 years (required)
• Autosys, Oozie: 6 years (required)