Closed listing
Data Engineer
- Toronto, ON, Canada
Contract
This opening has closed.
The original listing is kept below for reference.
Job details
- Job type
- Contract
- Closing date
- Experience
- 5–7 years of experience in data engineering or data development.
- Posting language
- English
- Posted
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Search current openingsOriginal job description
Archived listing. The details below describe a past opening.
We are looking for an experienced Data Engineer with strong hands-on expertise in Databricks, Azure database technologies, Oracle, and Python. The ideal candidate should have experience designing, developing, and maintaining scalable data pipelines and data processing solutions to support business reporting, analytics, and data integration requirements.
Ideal Candidate Profile: A hands-on Data Engineer with strong Databricks, Python, Azure database, and Oracle experience. AI experience will be an added advantage.
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.
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.
- Good communication and collaboration skills.
More about this job
Responsibilities
Design, develop, and maintain scalable pipelines for data ingestion, transformation, and integration, using Databricks for processing and analytics. Build and maintain Python and SQL workflows and integrate data from Azure and Oracle databases to support reporting and analytics.
Requirements
Requires 5–7 years of data engineering or data development experience, with hands-on expertise in Databricks, Azure database technologies, Oracle, SQL, and Python. Candidates should have ETL/ELT and data integration experience, strong analytical and problem-solving abilities, and good communication and collaboration skills; AI experience is an advantage.
Skills
- Databricks
- Azure Database Technologies
- Oracle Database
- Python
- SQL
- Data Engineering
- Data Pipelines
- ETL/ELT
- Data Integration
- Data Transformation
- Data Processing
- Analytics
- Troubleshooting
- Problem-Solving
- Communication
- Collaboration
Visa sponsorship
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Categories
- Data & Analytics
- Technology
- Software
Keywords
- Data Engineering
- Data Development
- Databricks
- Azure Database Technologies
- Oracle Database
- Python
- SQL
- Data Pipelines
- Data Ingestion
- Data Processing
- Data Transformation
- Data Integration
- ETL/ELT
- Data Workflows
- Business Reporting
- Analytics
- Automation
- AI
- Troubleshooting
- Problem-Solving