ETL Data Engineer (Hybrid, Markham, Ontario)
- Markham, ON, Canada
Full-time
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Job details
- Job type
- Full-time
- Experience
- 8+ years of hands-on experience in ETL development, Data Engineering, or enterprise data integration.
- Posting language
- English
- Posted
Original job description
Requirements:
- 8+ years of hands-on experience in ETL development, Data Engineering, or enterprise data integration.
- Strong expertise in Informatica, with proven experience developing and maintaining ETL workflows and data pipelines.
- Hands-on experience working with Hadoop and large-scale data processing environments.
- Advanced SQL skills, with strong experience working with complex datasets and queries.
- Strong experience in data reconciliation, data validation, and data quality technologies.
- Experience working with Business Intelligence tools and supporting reporting and analytics requirements.
- Strong understanding of ETL architecture, data mapping, transformation, and data integration processes.
- Experience in the insurance domain is preferred, while knowledge of P&C Insurance is a strong plus.
- Design, develop, and maintain scalable ETL pipelines and data integration solutions using Informatica.
- Develop data transformation and processing workflows across Hadoop and enterprise data environments.
- Write and optimize advanced SQL queries for data extraction, transformation, reconciliation, and analysis.
- Perform data reconciliation and validation to ensure data completeness, consistency, and accuracy across systems.
- Identify and resolve data quality, integration, and ETL performance issues.
- Support data requirements for Business Intelligence, reporting, and analytics platforms.
- Collaborate with business, data, and technical teams to translate requirements into reliable and scalable data solutions.
- Maintain comprehensive ETL documentation and ensure data pipelines adhere to established development, quality, and governance standards.
More about this job
Responsibilities
Design, develop, and maintain scalable ETL pipelines and data integration solutions using Informatica and Hadoop. Collaborate with cross-functional teams to ensure data quality, consistency, and accuracy while supporting business intelligence and reporting requirements.
Requirements
Requires 8+ years of hands-on experience in ETL development, data engineering, and enterprise data integration. Strong expertise in Informatica, Hadoop, and advanced SQL is essential, with a preference for candidates with experience in the insurance domain.
Skills
- Informatica
- Data Engineering
- ETL Development
- Hadoop
- SQL
- Data Integration
- Data Reconciliation
- Data Validation
- Data Quality
- Business Intelligence
- Data Mapping
- Data Transformation
- P&C Insurance
- Data Pipelines
- Enterprise Data Integration
Visa sponsorship
Not detected in the job text
Categories
- Data & Analytics
- Technology
- Software
- Engineering
- Consulting
Keywords
- ETL
- Data Engineering
- Informatica
- Hadoop
- SQL
- Data Integration
- Data Reconciliation
- Data Validation
- Data Quality
- Business Intelligence
- Data Mapping
- Data Transformation
- P&C Insurance
- Insurance
- Data Pipelines
- Enterprise Data
- Data Governance
- Analytics
- Reporting
- Scalable Solutions