Job Title: Data Engineer

Location: Toronto, ON

Job type: onsite

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Key Responsibilities

- Design, develop, and maintain scalable data pipelines for data ingestion, transformation, and integration.
- Work extensively with Databricks for data processing, transformation, and analytics.
- Develop and maintain data workflows using Python and SQL.
- Integrate data from multiple sources, including Azure databases and Oracle databases.
- Write optimized queries and implement efficient data transformation logic.
- Perform data cleansing, validation, and quality checks to ensure accuracy and consistency.
- Troubleshoot data pipeline failures and resolve performance and data processing issues.
- Collaborate with business analysts, data architects, and other engineering teams to understand data requirements.
- Follow best practices for data security, governance, performance optimization, and documentation.




- Support data solutions involving AI or machine learning where applicable.

Required Skills and Qualifications

- 5–7 years of experience in data engineering or data development.
- Strong hands-on experience with Databricks.
- Experience working with Azure database technologies.
- Strong experience with Oracle Database and SQL.
- Proficiency in Python programming for data processing and automation.
- Experience with ETL/ELT processes, data integration, and data transformation.
- Strong analytical, troubleshooting, and problem-solving skills.
- Positive communication and collaboration skills.

Preferred Skills

- Exposure to AI, machine learning, or AI-enabled data solutions.
- Experience with Spark, PySpark, Delta Lake, or Azure data services.
- Experience optimizing data pipelines and processing large datasets

📌 Data Engineer & Data Designer (Toronto)
🏢 Lorven Technologies
📍 Toronto