About Data Intuition Inc.
Data Intuition Inc. provides enterprise information technology infrastructure, data engineering, data integration, data science, database administration, data quality and information systems solutions.
We are seeking two qualified Data Engineers to design, develop, implement, coordinate and maintain enterprise data engineering and information systems solutions. The positions involve working across data science, predictive analytics, database architecture, data integration, data administration, information systems development, software quality assurance and data governance.
The successful candidates will work with enterprise database platforms, cloud environments, analytical technologies and software integration tools, including Databricks, Delta Lake, Unity Catalog and Informatica.
The role involves assessing business and technical requirements, developing analytical and data processing solutions, managing database environments, supporting system implementation and migration, implementing data governance procedures and ensuring the reliability, security and quality of information systems.
Key Duties and Responsibilities
1. Data Science, Analytics and Predictive Modelling
Conduct data science and analytical activities to identify trends, patterns and relationships within large datasets.
Build, develop and implement predictive models to support business analysis, forecasting and decision-making.
Apply statistical and machine-learning methods, including ensemble modelling, to combine multiple algorithms and improve predictive performance.
Design methods for collecting, processing and analysing data to address specific business and research questions.
Research the availability and suitability of data from structured and unstructured sources.
Identify key data sources and establish appropriate data collection, processing and analytical methodologies for individual projects.
Extract, process and organize information from unstructured datasets.
Develop queries and programming logic to generate reports and support analytical activities.
Prepare data visualizations, dashboards and analytical reports to communicate findings to business and technical audiences.
Explain the business and technical benefits of analytical solutions to clients, stakeholders and technical teams.
Research and evaluate automated anomaly detection systems and provide recommendations on their selection and implementation.
2. Data Engineering, Database Architecture and Systems Integration
Conduct business and technical studies to support decisions concerning the implementation, modernization, integration and migration of information systems.
Consult with clients and stakeholders to identify business requirements, technical specifications and data management needs.
Design, develop and implement Databricks environments, including catalogs, schemas, data connections, access controls and compute configurations.
Build and maintain Python, PySpark and SQL data pipelines using Databricks and Delta Lake.
Develop batch and incremental data ingestion processes, including change data capture (CDC) for supported source systems.
Develop data mapping methods and source-to-target transformation processes.
Develop database architectures, data models and information systems solutions to meet business requirements.
Develop process and network models to support system architecture, data integration and operational optimization.
Integrate databases, applications, cloud environments, data files and APIs.
Coordinate the development, installation, integration and operation of computer-based information systems.
Develop queries, stored procedures, triggers and scripts to support database operations and information processing.
Operate database management systems to analyse data and support business intelligence and data management activities.
3. Database Administration, Data Governance and Information Security
Develop and implement data administration policies, standards, procedures and models.
Research and document data requirements, collection methodologies, administration policies and data access rules.
Configure and maintain Databricks Unity Catalog, including catalogs, schemas, permissions and governed data assets.
Develop and maintain Informatica Cloud Data Governance and Catalog (CDGC) solutions for metadata discovery, classification, business glossary and data stewardship.
Develop and implement procedures governing database access, network usage, data security, backup and recovery.
Assess physical and technical security risks relating to data, software, hardware and information systems.
Develop and implement policies, procedures and contingency plans to minimize the impact of security breaches.
Implement appropriate data classification, masking, access controls and information security measures.
Maintain data lineage, metadata records and data governance documentation.
Advise on information systems strategy, policies, management practices and service delivery.
Research and evaluate the availability, security, suitability and administration requirements of enterprise data.
Work with data owners, administrators and technical stakeholders to resolve data management and governance issues.
4. Informatica Data Integration and Data Quality
Develop, configure and maintain Informatica Cloud Data Integration (CDI) mappings and taskflows.
Integrate source databases, cloud storage systems and Databricks environments using appropriate data integration methods.
Develop reusable data quality rules, validation processes and data cleansing solutions using Informatica Cloud Data Quality (CDQ).
Integrate data quality controls into data integration workflows and maintain or migrate existing Informatica Data Quality (IDQ) mappings where required.
Reconcile source and target datasets using record counts, business totals, row-level comparisons and other validation methods.
Investigate data inconsistencies, identify root causes and implement corrective measures.
Manage non-conforming records, document failure reasons and support controlled correction and reprocessing.
Develop data quality scorecards, reports, dashboards and monitoring alerts.
Establish data quality standards and procedures to maintain completeness, validity, uniqueness, consistency and reliability of information.
Research and implement appropriate data quality and administration practices across enterprise data environments.
5. Information Systems Development and Technical Coordination
Design, develop and implement information systems and business technology solutions.
Develop and implement policies and procedures throughout the software development life cycle.
Prepare and maintain software maintenance plans and technical documentation.
Upgrade, maintain and troubleshoot software applications, information systems and integrated technology platforms.
Lead and coordinate information systems professionals involved in developing software, integrated information systems, process control software and embedded software control systems.
Lead and coordinate data administrators in developing and implementing data policies, standards and models.
Coordinate development, implementation, installation and operational activities across technical teams and client environments.
Coordinate system integration and deployment activities across development, testing and production environments.
Provide technical guidance concerning information systems architecture, implementation, maintenance and service delivery.
Resolve technical and project-related conflicts in collaboration with clients, stakeholders and team members.
Document business requirements, technical specifications, data access procedures and system configurations.
6. Software Testing, Quality Assurance and Technical Support
Conduct reviews to assess quality assurance practices, software products and information systems.
Assess and troubleshoot application software, database systems and integrated applications.
Develop and implement software and information systems testing procedures.
Conduct usability testing and operate automated or other testing equipment to assess product quality.
Conduct security testing, quality controls and technical validation of applications and information systems.
Execute software application tests and information and telecommunication systems tests.
Prepare and document testing results, technical findings and corrective actions.
Assess system performance and identify technical issues affecting data processing, application reliability and information security.
Coordinate quality assurance activities and support the implementation of technical improvements.
Maintain testing documentation, operational procedures and technical support records.
Required Education
Bachelor’s degree in Information Technology, Computer Technology/Computer Systems Technology, Data Modelling, Data Warehousing, Database Administration or a related field, or equivalent relevant education and experience.
Required Professional Experience
2 years to less than 3 years of relevant professional experience in data engineering, data science, database development, data administration, information systems or related information technology work.
Practical experience developing, implementing and maintaining data processing, database and information systems solutions.
Experience working with data integration, data management, analytical systems and software development environments.
Required Technical Skills and Computer Knowledge
Candidates should have relevant technical knowledge and practical experience in the following areas:
Data engineering and analytics
Databricks, Delta Lake and Unity Catalog.
Python, PySpark, SQL and data processing.
Data Science, predictive modelling and machine learning.
Data mapping, data warehousing, database administration and data visualization.
Big data, data analysis and analytical reporting.
Database and integration technologies
Informatica, IBM DataStage, DB2, Oracle, MySQL, Microsoft SQL Server, MS Access and Teradata.
Enterprise data warehouses, ERP systems and SAP BI BusinessObjects.
Database management, data modelling, data administration and system integration.
IBM DataStage, Netezza, COBOL and VSAM environments.
Programming and software development
Programming languages and technologies including Python, SQL, Java, JavaScript, C, C++, C#, COBOL, Scala, Visual Basic, .NET and TypeScript.
Object-oriented programming, JSON, XML, SOAP and web services.
HTML, XML technologies (XSL, XSD and DTD), scripting and software development.
Software application development, website creation and management and programming tools.
Cloud, infrastructure and operating environments
Cloud computing, Amazon Web Services (AWS), DevOps and Agile environments.
Linux, Unix, Ubuntu, Microsoft Windows, Oracle Solaris and mainframe environments.
Client/server environments, servers, networking software and hardware.
Networking security, firewalls, security software, Active Directory and Internet of Things (IoT).
Development, testing and technical tools
Git, GitHub, Microsoft Visual Studio, Visual Studio Code, IntelliJ IDEA, Android Studio, Jira and Atlassian Confluence.
Apache Ant, Apache Flex, Apache Tomcat, Bootstrap, React.js, Vue.js, Hibernate and Microservices.
Postman, Protractor, manual testing, performance testing and software quality assurance.
Microsoft Office, Excel, Excel VBA, Outlook and spreadsheet applications.
Project management software, ITIL and technical documentation tools.
The role may involve the use of different technologies and software platforms depending on assigned projects, client environments and system requirements.
Relevant Professional Certifications
The following professional certifications are relevant to the position:
Databricks Certified Data Engineer (Associate or Professional).
Informatica Cloud Data Governance and Catalog Professional Certification.
Informatica Cloud Data Quality Professional Certification.
Applicants holding equivalent or other industry-recognized certifications demonstrating comparable knowledge and competencies in Databricks, data governance, data quality or related technologies may also be considered.
Applicants are encouraged to identify their relevant certifications, issuing organizations and certification levels in their applications and provide supporting documentation when requested.
Additional Qualifications and Experience Considered Assets
Experience with Qlik Replicate, change data capture and data recovery on supported source systems.
Experience with Terraform and infrastructure automation.
Experience with Azure DevOps and CI/CD implementation.
Experience with Databricks deployment bundles.
Experience with streaming data solutions.
Experience developing reusable data quality frameworks.
Experience with Oracle Spatial/GIS.
Knowledge of WKB/WKT conversion, coordinate systems and geometry validation.
Qlik Replicate certification.
Business-domain knowledge in rail transportation, logistics or fast-moving consumer goods (FMCG).
Areas of Work Experience and Specialization
Relevant areas of work experience include:
Project implementation.
Information technology service delivery.
Systems and database design.
Quality assurance and quality control.
Relevant areas of specialization include:
System integration.
Technical support.
Software and information systems testing.
Business methods analysis.
Work Conditions and Physical Capabilities
Ability to work independently.
Ability to work in a fast-paced environment.
Ability to work under pressure.
Ability to meet tight project deadlines.
Ability to manage repetitive technical and data-related tasks.
Strong attention to detail.
Personal Suitability
The successful candidates should demonstrate:
Accuracy and attention to detail.
Client-focused approach.
Effective interpersonal skills.
Excellent oral and written communication.
Initiative and sound judgment.
Strong organizational skills.
Ability to work as part of a team.
Flexibility and adaptability.
Accountability and dedication.
Innovation and analytical thinking.
Proactive approach to problem-solving.
Ability to learn new technologies and systems quickly.
Security and Safety
A criminal record check may be required, subject to the employer’s applicable requirements.
Employment Conditions and Benefits
Employment terms:
Permanent, full-time employment.
35 hours per week.
CAD $47.00 per hour.
On-site employment at Brampton, Ontario, L6T 5B6.
Expected start as soon as possible.
Benefits:
Dental plan.
Health care plan.
Vision care benefits.
Group insurance benefits.
Paid time off for volunteering or personal days.
How to Apply
Interested and qualified candidates are invited to submit their applications through Indeed or the employer's designated recruitment channel or through other available application method.
Applicants should provide a cover letter and an up-to-date resume outlining their relevant education, professional experience, technical skills and experience with data engineering, data science, database systems, data integration, software development and information systems.
Applicants may also identify any relevant professional certifications and additional technical qualifications.
Data Intuition Inc. encourages applications from Canadian citizens and permanent residents.
Pay: $47.00 per hour
Expected hours: 35.0 per week
Work Location: In person
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