Data Engineer- banking
Spruce InfoTech Inc.
About the role
Role: Data Engineer – Banking
Location: Toronto, ON (Hybrid)
Experience: 8+ Years
Note: Banking domain experience
Must Have: Databricks, PySpark, SQL, Azure Data Factory (ADF)
Required Skills: • Strong proficiency in Python, PySpark, and SQL • Hands-on experience with ETL processes and data transformation • Strong working experience with Databricks • Experience with Azure Data Factory (ADF) • Good understanding of Azure cloud tech stack • Banking domain experience
Nice to Have: • Knowledge of Medallion Architecture
Key Responsibilities: • Design, develop, and optimize ETL pipelines using Python, PySpark, and SQL • Build and manage scalable data solutions on Databricks • Develop and maintain workflows using Azure Data Factory (ADF) • Perform data transformation and ensure high data quality standards • Work within Azure cloud ecosystem to implement end-to-end data solutions
Requirements
- Strong proficiency in Python, PySpark, and SQL
- Hands-on experience with ETL processes and data transformation
- Strong working experience with Databricks
- Experience with Azure Data Factory (ADF)
- Good understanding of Azure cloud tech stack
- Banking domain experience
Responsibilities
- Design, develop, and optimize ETL pipelines using Python, PySpark, and SQL
- Build and manage scalable data solutions on Databricks
- Develop and maintain workflows using Azure Data Factory (ADF)
- Perform data transformation and ensure high data quality standards
- Work within Azure cloud ecosystem to implement end-to-end data solutions
Skills
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