Rivago Infotech Inc
Cloud Data Engineer
Rivago Infotech is hiring a Cloud Data Engineer in Toronto to design enterprise-scale data warehouse solutions and build ETL/ELT pipelines (Python, SQL) for finance and loan data. The role centers on dimensional data modeling, data quality/governance, and translating banking/lending product requirements into scalable data models.
- Compensation
- Not disclosed
- Location
- Toronto, Canada
- Work setup
- Not specified
- Seniority
- Not specified
- Employment
- Not specified
- Experience
- Not specified
- Category
- Data engineering
- Posted
Skills
Must have
- Strong experience in Data Warehousing (DWH), Dimensional Modeling, OLTP/OLAP concepts, Facts & Dimensions
- Expertise in SQL development and query optimization
- Strong Python programming skills for data engineering and automation
- Experience designing enterprise data models and data integration solutions
- Deep understanding of Finance products, preferably Loan Servicing
- Experience working with large-scale financial data platforms
- Strong analytical, troubleshooting, and problem-solving skills
Nice to have
- LoanIQ or similar loan management platforms
- Finance accounting/subledger concepts
- Databricks and PySpark experience
- Snowflake, Synapse, Redshift, or BigQuery
- Airflow/Astronomer
- Experience with metadata-driven ETL frameworks and data governance
- 8+ years in Data Engineering/Data Warehousing
- 3+ years working with Finance, Banking, or Lending domains
- Experience supporting enterprise reporting, regulatory, accounting, or finance data initiatives
Full description
We are seeking a Cloud Data Engineer with strong Data Warehouse and Data Modeling experience, coupled with deep understanding of Finance products and loan data domains. The ideal candidate will be able to bridge business and technology by translating complex financial product requirements into scalable data models and enterprise data warehouse solutions.
Key Responsibilities
- Design and develop enterprise-scale Data Warehouse solutions supporting finance and loan business domains.
- Analyze and model complex financial products, loan portfolios, transactions, fees, and related finance data structures.
- Develop and maintain scalable ETL/ELT pipelines using Python and SQL.
- Create and optimize dimensional and normalized data models for analytics and reporting.
- Collaborate with business stakeholders, product owners, and SMEs to define source-to-target mappings and data requirements.
- Ensure data quality, reconciliation, and governance across finance data platforms.
- Perform data analysis, troubleshooting, and root cause investigation for data issues.
- Contribute to cloud-based data platform modernization initiatives.
Required Skills
- Strong experience in Data Warehousing (DWH), Dimensional Modeling, OLTP/OLAP concepts, Facts & Dimensions.
- Expertise in SQL development and query optimization.
- Strong Python programming skills for data engineering and automation.
- Experience designing enterprise data models and data integration solutions.
- Deep understanding of Finance products, preferably:
- Loan Servicing
- LoanIQ or similar loan management platforms
- Finance accounting/subledger concepts
- Experience working with large-scale financial data platforms.
- Strong analytical, troubleshooting, and problem-solving skills.
Nice to Have
- Databricks and PySpark experience.
- Snowflake, Synapse, Redshift, or BigQuery.
- Airflow/Astronomer.
- Experience with metadata-driven ETL frameworks and data governance.
Preferred Experience
- 8+ years in Data Engineering/Data Warehousing.
- 3+ years working with Finance, Banking, or Lending domains.
- Experience supporting enterprise reporting, regulatory, accounting, or finance data initiatives