Start Date- 2024-10-25
End Date- 2025-03-31
Flexible (Hybrid)- Required to be in the office as needed.
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A Data Engineer plays a crucial role in managing and optimizing data infrastructure to be leveraged by the Cyber Control Tower for AI enabled business analytics. Their responsibilities include:
- Designing and Building Data Pipelines: They develop, construct, maintain, and manage data pipelines, ensuring data flows smoothly from its source to its destination efficiently and securely.
- Data Collection and Storage: Data Engineers collect and store data from various sources, ensuring its accuracy and integrity. This involves connecting to external databases, APIs, and other storage solutions.
- Data Transformation and Cleaning: They transform raw data into useful formats, promoting data quality and ensuring the accuracy of data. This can involve writing code to automate processes and leveraging machine learning algorithms to detect patterns or anomalies.
- Data Architecture: Designing, constructing, maintaining, and troubleshooting an organization’s data architecture. This includes selecting appropriate technologies and developing effective storage solutions that can handle large amounts of data.
- Collaboration with Data Scientists and Analysts: Ensuring that data is readily available to data scientists, analysts, and other users. They work closely with these professionals to understand their data needs and provide the necessary infrastructure.
- Performance Optimization: Monitoring and optimizing the performance of data retrieval, storage, and distribution systems
Advantages
- Good compensation working on projects that will make a difference to the people in Ontario.
- Opportunities that will help you enhance your skill set in a rapidly evolving field.
Responsibilities
- Develops, recommends, implements and manages the technical architecture (hardware, software, database and communications) which will be used for all or specific applications in a large, distributed cross-platform environment.
- The identification of relevant information and the determination of the environment, which will be used for development.
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- Designing and Building Data Pipelines: They develop, construct, maintain, and manage data pipelines, ensuring data flows smoothly from its source to its destination efficiently and securely.
- Data Collection and Storage: Data Engineers collect and store data from various sources, ensuring its accuracy and integrity. This involves connecting to external databases, APIs, and other storage solutions.
- Data Transformation and Cleaning: They transform raw data into useful formats, promoting data quality and ensuring the accuracy of data. This can involve writing code to automate processes and leveraging machine learning algorithms to detect patterns or anomalies.
- Data Architecture: Designing, constructing, maintaining, and troubleshooting an organization’s data architecture. This includes selecting appropriate technologies and developing effective storage solutions that can handle large amounts of data.
- Collaboration with Data Scientists and Analysts: Ensuring that data is readily available to data scientists, analysts, and other users. They work closely with these professionals to understand their data needs and provide the necessary infrastructure.
- Performance Optimization: Monitoring and optimizing the performance of data retrieval, storage, and distribution systems
Qualifications
- Technical Proficiency (3+ years experience)
* Ability to develop, construct, maintain, and manage data pipelines.
* Proficiency in languages such as Python, Java, or Scala, and experience with technologies like Hadoop, Spark, or Kafka.
* Expertise transforming raw data into useful formats and ensuring data quality.
* Ability to monitor and optimize the performance of data systems.
- Data Architecture and Storage Solutions (3+ years experience)
* Expertise in designing, constructing, maintaining, and troubleshooting data architectures.
* Experience with various data storage technologies and solutions, such as SQL and NoSQL databases (e.g., PostgreSQL, MongoDB).
* Experience in integrating data from multiple sources, including external databases and APIs.
* Ability to design systems that can handle large-scale data efficiently.
- Collaboration and Communication (3+ years experience)
* Ability to work closely with data scientists, analysts, and other stakeholders to understand and address their data needs.
* Strong verbal and written communication skills to effectively convey technical information to non-technical stakeholders.
* Experience working in cross-functional teams and contributing to collaborative projects.
* Ability to troubleshoot issues and provide solutions in a collaborative environment.
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- Experience with middleware and gateways
- Knowledge of performance considerations in different environments
- Experience in structured methodologies for the design, development and implementation of applications
- Extensive experience in systems analysis and design in large systems environments
- Knowledge and experience designing processes around ITIL and is able to guide others using this methodology
- Experience translating business requirements into reporting needs
- Experience preparing conceptual, logical and/or physical processes and data models
- Experience developing, recommending, implementing and managing technical architecture
- Experience in the use of Computer Aided Software Engineering (CASE) tools and other software tools such as project management tools
- Excellent analytical, problem-solving and decision-making skills; verbal and written communication skills; interpersonal and negotiation skills
- A team player with a track record for meeting deadlines Experience in developing enterprise architecture deliverables (e.g. models)
- Experience in developing enterprise architecture deliverables (e.g. models) based on Ontario Government Enterprise Architecture processes and practice
- Knowledge and understanding of Enterprise Content Management (Open Text ECM applications) Knowledge and understanding of Information Management principles, concepts, policies and practices
Summary
Passionate about designing innovative technology solutions? Skilled in collaborating with cross-functional teams to deliver high-impact projects? Eager to stay at the forefront of emerging technologies and industry trends? If this all applies to you, then we encourage you to apply for the Technology Architect position!
We thank all applicants for taking the time out to apply. Someone from our team will reach out to you if you have moved forward in the recruitment process.
Randstad Canada is committed to fostering a workforce reflective of all peoples of Canada. As a result, we are committed to developing and implementing strategies to increase the equity, diversity and inclusion within the workplace by examining our internal policies, practices, and systems throughout the entire lifecycle of our workforce, including its recruitment, retention and advancement for all employees. In addition to our deep commitment to respecting human rights, we are dedicated to positive actions to affect change to ensure everyone has full participation in the workforce free from any barriers, systemic or otherwise, especially equity-seeking groups who are usually underrepresented in Canada's workforce, including those who identify as women or non-binary/gender non-conforming; Indigenous or Aboriginal Peoples; persons with disabilities (visible or invisible) and; members of visible minorities, racialized groups and the LGBTQ2+ community.
Randstad Canada is committed to creating and maintaining an inclusive and accessible workplace for all its candidates and employees by supporting their accessibility and accommodation needs throughout the employment lifecycle. We ask that all job applications please identify any accommodation requirements by sending an email to accessibility@randstad.ca to ensure their ability to fully participate in the interview process.
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Start Date- 2024-10-25
End Date- 2025-03-31
Flexible (Hybrid)- Required to be in the office as needed.
---------------------------------------------------------------------------------------------------------------------------------------------------------------------
A Data Engineer plays a crucial role in managing and optimizing data infrastructure to be leveraged by the Cyber Control Tower for AI enabled business analytics. Their responsibilities include:
- Designing and Building Data Pipelines: They develop, construct, maintain, and manage data pipelines, ensuring data flows smoothly from its source to its destination efficiently and securely.
- Data Collection and Storage: Data Engineers collect and store data from various sources, ensuring its accuracy and integrity. This involves connecting to external databases, APIs, and other storage solutions.
- Data Transformation and Cleaning: They transform raw data into useful formats, promoting data quality and ensuring the accuracy of data. This can involve writing code to automate processes and leveraging machine learning algorithms to detect patterns or anomalies.
...
- Data Architecture: Designing, constructing, maintaining, and troubleshooting an organization’s data architecture. This includes selecting appropriate technologies and developing effective storage solutions that can handle large amounts of data.
- Collaboration with Data Scientists and Analysts: Ensuring that data is readily available to data scientists, analysts, and other users. They work closely with these professionals to understand their data needs and provide the necessary infrastructure.
- Performance Optimization: Monitoring and optimizing the performance of data retrieval, storage, and distribution systems
Advantages
- Good compensation working on projects that will make a difference to the people in Ontario.
- Opportunities that will help you enhance your skill set in a rapidly evolving field.
Responsibilities
- Develops, recommends, implements and manages the technical architecture (hardware, software, database and communications) which will be used for all or specific applications in a large, distributed cross-platform environment.
- The identification of relevant information and the determination of the environment, which will be used for development.
----------------------------------------------------------------------------
- Designing and Building Data Pipelines: They develop, construct, maintain, and manage data pipelines, ensuring data flows smoothly from its source to its destination efficiently and securely.
- Data Collection and Storage: Data Engineers collect and store data from various sources, ensuring its accuracy and integrity. This involves connecting to external databases, APIs, and other storage solutions.
- Data Transformation and Cleaning: They transform raw data into useful formats, promoting data quality and ensuring the accuracy of data. This can involve writing code to automate processes and leveraging machine learning algorithms to detect patterns or anomalies.
- Data Architecture: Designing, constructing, maintaining, and troubleshooting an organization’s data architecture. This includes selecting appropriate technologies and developing effective storage solutions that can handle large amounts of data.
- Collaboration with Data Scientists and Analysts: Ensuring that data is readily available to data scientists, analysts, and other users. They work closely with these professionals to understand their data needs and provide the necessary infrastructure.
- Performance Optimization: Monitoring and optimizing the performance of data retrieval, storage, and distribution systems
Qualifications
- Technical Proficiency (3+ years experience)
* Ability to develop, construct, maintain, and manage data pipelines.
* Proficiency in languages such as Python, Java, or Scala, and experience with technologies like Hadoop, Spark, or Kafka.
* Expertise transforming raw data into useful formats and ensuring data quality.
* Ability to monitor and optimize the performance of data systems.
- Data Architecture and Storage Solutions (3+ years experience)
* Expertise in designing, constructing, maintaining, and troubleshooting data architectures.
* Experience with various data storage technologies and solutions, such as SQL and NoSQL databases (e.g., PostgreSQL, MongoDB).
* Experience in integrating data from multiple sources, including external databases and APIs.
* Ability to design systems that can handle large-scale data efficiently.
- Collaboration and Communication (3+ years experience)
* Ability to work closely with data scientists, analysts, and other stakeholders to understand and address their data needs.
* Strong verbal and written communication skills to effectively convey technical information to non-technical stakeholders.
* Experience working in cross-functional teams and contributing to collaborative projects.
* Ability to troubleshoot issues and provide solutions in a collaborative environment.
-------------------------------------------------------------------------------
- Experience with middleware and gateways
- Knowledge of performance considerations in different environments
- Experience in structured methodologies for the design, development and implementation of applications
- Extensive experience in systems analysis and design in large systems environments
- Knowledge and experience designing processes around ITIL and is able to guide others using this methodology
- Experience translating business requirements into reporting needs
- Experience preparing conceptual, logical and/or physical processes and data models
- Experience developing, recommending, implementing and managing technical architecture
- Experience in the use of Computer Aided Software Engineering (CASE) tools and other software tools such as project management tools
- Excellent analytical, problem-solving and decision-making skills; verbal and written communication skills; interpersonal and negotiation skills
- A team player with a track record for meeting deadlines Experience in developing enterprise architecture deliverables (e.g. models)
- Experience in developing enterprise architecture deliverables (e.g. models) based on Ontario Government Enterprise Architecture processes and practice
- Knowledge and understanding of Enterprise Content Management (Open Text ECM applications) Knowledge and understanding of Information Management principles, concepts, policies and practices
Summary
Passionate about designing innovative technology solutions? Skilled in collaborating with cross-functional teams to deliver high-impact projects? Eager to stay at the forefront of emerging technologies and industry trends? If this all applies to you, then we encourage you to apply for the Technology Architect position!
We thank all applicants for taking the time out to apply. Someone from our team will reach out to you if you have moved forward in the recruitment process.
Randstad Canada is committed to fostering a workforce reflective of all peoples of Canada. As a result, we are committed to developing and implementing strategies to increase the equity, diversity and inclusion within the workplace by examining our internal policies, practices, and systems throughout the entire lifecycle of our workforce, including its recruitment, retention and advancement for all employees. In addition to our deep commitment to respecting human rights, we are dedicated to positive actions to affect change to ensure everyone has full participation in the workforce free from any barriers, systemic or otherwise, especially equity-seeking groups who are usually underrepresented in Canada's workforce, including those who identify as women or non-binary/gender non-conforming; Indigenous or Aboriginal Peoples; persons with disabilities (visible or invisible) and; members of visible minorities, racialized groups and the LGBTQ2+ community.
Randstad Canada is committed to creating and maintaining an inclusive and accessible workplace for all its candidates and employees by supporting their accessibility and accommodation needs throughout the employment lifecycle. We ask that all job applications please identify any accommodation requirements by sending an email to accessibility@randstad.ca to ensure their ability to fully participate in the interview process.
show more
