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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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, maintain, and optimize data processing solutions and Apache Spark jobs using Databricks. Support data pipelines and processing frameworks, troubleshoot workload issues, and contribute to delivery, deployment, and issue resolution.
Requirements
The role requires strong experience with Databricks and Apache Spark. It also involves developing scalable data transformation and processing capabilities and collaborating with project team members to deliver data engineering solutions.
Skills
- Databricks
- Apache Spark
- Data Engineering
- Data Processing
- Data Transformation
- Data Pipelines
- Data Ingestion
- Troubleshooting
- Unit Testing
- Technical Documentation
- Deployment Support
Visa sponsorship
Not detected in the job text
Categories
- Data & Analytics
- Technology
- Software
Keywords
- Databricks
- Apache Spark
- Data Engineering
- Data Processing
- Data Transformation
- Data Ingestion
- Data Pipelines
- Data Processing Frameworks
- Scalable Solutions
- Spark Jobs
- Databricks Notebooks
- Reusable Code
- Unit Testing
- Technical Documentation
- Troubleshooting
- Deployment
- Issue Resolution
- Information Services