Developer
- Toronto, ON, Canada
$38 to $48 USD / hour
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Job details
- Pay
- $38 to $48 USD / hour
- Apply by
- Posting language
- English
- Posted
Original job description
Data Engineer - Toronto, ON - Contract - $38-48 Per HR
Description
An experienced professional is needed to design, develop, and support large-scale data platforms. This role requires expertise in big data technologies to create efficient data pipelines and processing solutions. The position is based in a hybrid setting, requiring physical presence in the office three days a week.
Key Responsibilities
Big Data Technologies | Streaming Technologies | Data Processing Frameworks | SQL | Data Ingestion Tools
Contact Authorization
By applying for this job, you agree to receive AI-generated calls, text messages, and/or emails from Mitchell Martin Inc and its affiliates and contracted partners at various frequency through traditional and automated methods. Message and data rates may apply for texts. Carriers are not liable for delayed or undelivered messages. You can access our privacy policy on our web site or here (https://www.mitchellmartin.com/privacy-policy).
Benefits
Learn more about our benefits offerings on our web site or here (https://www.mitchellmartin.com/careers/benefits-perks)
Onboarding Expectations
Learn more about our Onboarding Process on our web site or here (https://youtu.be/rjV_NFYjyY4)
EEO Statement
Learn more about our EEO policy on our web site or here (https://www.mitchellmartin.com/eoe-statement)
26-27974
Description
An experienced professional is needed to design, develop, and support large-scale data platforms. This role requires expertise in big data technologies to create efficient data pipelines and processing solutions. The position is based in a hybrid setting, requiring physical presence in the office three days a week.
Key Responsibilities
- Design and optimize scalable data pipelines using generic big data technologies.
- Develop and maintain batch and real-time data processing solutions.
- Support streaming applications and event-driven architectures.
- Create and optimize workflows for large-scale datasets.
- Collaborate with teams to deliver high-quality data solutions.
- Proficiency in generic big data technologies and data processing frameworks.
- Experience with SQL and data transformation techniques.
- Strong understanding of data ingestion and real-time processing frameworks.
- Ability to monitor and enhance data pipeline performance.
- Experience in ensuring data quality, governance, and security.
Big Data Technologies | Streaming Technologies | Data Processing Frameworks | SQL | Data Ingestion Tools
Contact Authorization
By applying for this job, you agree to receive AI-generated calls, text messages, and/or emails from Mitchell Martin Inc and its affiliates and contracted partners at various frequency through traditional and automated methods. Message and data rates may apply for texts. Carriers are not liable for delayed or undelivered messages. You can access our privacy policy on our web site or here (https://www.mitchellmartin.com/privacy-policy).
Benefits
Learn more about our benefits offerings on our web site or here (https://www.mitchellmartin.com/careers/benefits-perks)
Onboarding Expectations
Learn more about our Onboarding Process on our web site or here (https://youtu.be/rjV_NFYjyY4)
EEO Statement
Learn more about our EEO policy on our web site or here (https://www.mitchellmartin.com/eoe-statement)
26-27974
More about this job
Responsibilities
Design, develop, and optimize scalable data pipelines and batch and real-time processing solutions for large-scale datasets. Support streaming and event-driven applications, monitor pipeline performance, and collaborate with teams to deliver high-quality data solutions.
Requirements
Requires proficiency in big data technologies and data processing frameworks, along with experience using SQL and data transformation techniques. Candidates should understand data ingestion and real-time processing and be able to improve pipeline performance while ensuring data quality, governance, and security.
Skills
- Big Data Technologies
- Data Engineering
- Data Pipelines
- Batch Processing
- Real-Time Data Processing
- Streaming Applications
- Event-Driven Architectures
- Data Processing Frameworks
- SQL
- Data Transformation
- Data Ingestion
- Pipeline Performance Monitoring
- Data Quality
- Data Governance
- Data Security
Visa sponsorship
Not detected in the job text
Categories
- Data & Analytics
- Technology
- Software
Keywords
- Data Engineering
- Big Data Technologies
- Data Platforms
- Data Pipelines
- Batch Processing
- Real-Time Processing
- Streaming Technologies
- Event-Driven Architectures
- Data Processing Frameworks
- SQL
- Data Transformation
- Data Ingestion Tools
- Large-Scale Datasets
- Pipeline Performance
- Data Quality
- Data Governance
- Data Security
- Financial Services