Closed listing
Data Engineer (Databricks / Apache Spark)
- Toronto, ON, Canada
$65 to $75 CAD / hour · Contract
This opening has closed.
The original listing is kept below for reference.
Job details
- Pay
- $65 to $75 CAD / hour
- Job type
- Contract
- Closing date
- Posting language
- English
- Posted
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Search current openingsOriginal job description
Archived listing. The details below describe a past opening.
Data Engineer (Databricks / Apache Spark)
Contract Term: 7 months, renewal
Work Location: Toronto, ON. hybrid
Service Description: Provide data engineering services to design, develop, and optimize data processing solutions using Databricks and Apache Spark. Support the development of scalable data transformation and processing capabilities to meet project requirements.
Role Description
- Design, develop, and maintain data processing solutions using Databricks.
- Develop and optimize Apache Spark jobs for data transformation and processing.
- Collaborate with project team members to support data engineering requirements and delivery activities.
- Troubleshoot and resolve issues related to Databricks and Spark workloads.
- Support the implementation and enhancement of data pipelines and data processing frameworks.
Deliverables
- Databricks notebooks and data processing solutions.
- Apache Spark data transformation jobs.
- Data ingestion and transformation workflows.
- Optimized and reusable data engineering code.
- Unit-tested data processing components.
- Technical documentation of implemented data engineering solutions.
- Support for deployment and issue resolution activities.
Required Qualifications / Experience
- Strong experience with Databricks
- Strong experience with Apache Spark
More about this job
Responsibilities
Design, develop, and maintain data processing solutions and optimized Apache Spark jobs using Databricks. Build and enhance data pipelines and processing frameworks, troubleshoot workload issues, and support project delivery and deployment.
Requirements
Strong experience with Databricks and Apache Spark is required. The posting does not specify an education requirement or a minimum number of years of experience.
Skills
- Databricks
- Apache Spark
- Data Engineering
- Data Processing
- Data Transformation
- Data Pipelines
- Data Ingestion
- Troubleshooting
- Unit Testing
- Technical Documentation
Visa sponsorship
Not detected in the job text
Categories
- Data & Analytics
- Technology
- Software
- Engineering
Keywords
- Databricks
- Apache Spark
- Data Engineering
- Data Processing
- Data Transformation
- Data Ingestion
- Data Pipelines
- Data Processing Frameworks
- Spark Jobs
- Databricks Notebooks
- Scalable Data Processing
- Data Engineering Code
- Reusable Code
- Unit Testing
- Troubleshooting
- Workload Optimization
- Technical Documentation
- Deployment Support
- Issue Resolution