Data Engineer
Atos
full-time
Posted on:
Location Type: Hybrid
Location: Toronto • Canada
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Tech Stack
About the role
- Build scalable ETL/ELT pipelines and transform large datasets
- Conduct performance tuning and collaborate with the Informatica team
- Work with engineering and product teams on data systems
- Ensure high availability and scalability of data workflows
Requirements
- 5-8 years of experience in data engineering
- Strong expertise in Azure Data Factory, Azure Databricks, and Spark SQL
- Hands-on experience in building scalable ETL/ELT pipelines
- Expertise in SQL, PL/SQL, and performance tuning
- Familiarity with job schedulers like Workload Automation (WLA)
- Azure certifications related to data & analytics
Benefits
- Flexible work arrangements
- Professional development
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard skills
ETLELTAzure Data FactoryAzure DatabricksSpark SQLSQLPL/SQLperformance tuningjob schedulersWorkload Automation
Certifications
Azure certifications