6 results for Databricks Developer in Mississauga, ON

Data Scientist

Cambridge, ON
onsite
Temporary
55.4135 - 64.163 CAD / Hourly
We are looking for a Data Scientist to join an automotive organization in Cambridge, Ontario on a Long-term Contract basis. This position centres on developing statistical and machine learning solutions that connect market information with sales and inventory performance. The successful candidate will combine strong analytical thinking with hands-on Python modelling to generate actionable business insights. You will work with modern data and BI tools to evaluate model effectiveness and strengthen data-driven decision-making. Responsibilities: • Design and refine statistical and machine learning models that link market trends with sales and inventory analysis. • Analyze data pipelines and reporting inputs to ensure reliable information is available for modelling and performance evaluation. • Build, test, and interpret models in Python using notebook-based workflows to support business analysis. • Measure model outcomes using appropriate performance indicators and recommend adjustments to improve analytical value. • Partner with business and analytics stakeholders to translate commercial questions into practical modelling approaches. • Use BI and low-code analytical tools to present findings in a clear and decision-focused manner. • Explore large-scale datasets using relevant big data and cloud technologies to uncover patterns and support forecasting activities.
2026-07-30T00:00:00Z

Data Engineer

North York, ON
onsite
Permanent
110000 - 125000 CAD / Yearly
We are looking for an experienced Data Engineer to build and enhance modern data solutions that support finance-focused business priorities in Toronto, Ontario. This position combines hands-on engineering with technical leadership to strengthen data pipelines, improve model consistency, and enable trusted reporting and advanced analytics. The successful candidate will help modernize legacy data environments within a cloud-based Lakehouse architecture while promoting strong governance, security, and scalability across enterprise data platforms. What you'll be working on:• Design, build, and maintain scalable data pipelines and integrations that support finance data products and downstream reporting needs.• Lead the modernization of legacy finance data environments by moving critical datasets and workflows into Azure-based Lakehouse platforms.• Develop reusable engineering frameworks and standardized data models to improve consistency, efficiency, and long-term maintainability.• Collaborate with cross-functional stakeholders to connect finance data assets with broader enterprise platforms for analytics, planning, and AI-driven use cases.• Apply data governance, security, and quality standards throughout the data lifecycle to ensure reliable and compliant solutions.• Optimize data processing performance for large and complex datasets using tools such as Databricks, PySpark, and Azure-native services.• Support the delivery and ongoing enhancement of business intelligence solutions, including data structures used for Power BI reporting.• Contribute to platform administration and technical best practices across Azure data services, while documenting work and tracking delivery through project tools.• Identify opportunities to streamline data processes and implement improvements that increase operational efficiency and solution reliability.
2026-07-18T00:00:00Z

Data Warehouse Application Support

Thornhill, ON
onsite
Permanent
65000 - 80000 CAD / Yearly
We are looking for a Data Warehouse Application Support specialist to join a service-focused team in Thornhill, Ontario. This role supports data warehouse operations, reporting, and analytical processes while helping ensure data reliability and timely issue resolution. The successful candidate will combine strong technical expertise with clear communication, sound documentation practices, and the ability to work effectively in an Agile environment. Responsibilities:• Support day-to-day operation of data warehouse applications by investigating issues, resolving defects, and maintaining stable system performance.• Develop and enhance Python-based scripts and processes to automate support activities, data handling, and operational tasks.• Write and optimize SQL queries across Oracle and SQL Server environments to troubleshoot data issues and validate results.• Build, update, and maintain dashboards, reports, and Power BI deliverables that support business visibility and decision-making.• Monitor ETL workflows, including SSIS-related processes, to identify failures, coordinate fixes, and improve data flow reliability.• Produce clear technical documentation for support procedures, reporting logic, recurring issues, and resolution steps.• Collaborate with cross-functional teams in Agile delivery settings, participating in planning, tracking, and continuous improvement activities using tools such as JIRA.• Contribute to quality assurance efforts by validating outputs, testing changes, and helping maintain high data accuracy standards.• Provide project-based support and take the lead on assigned initiatives when required, ensuring deadlines and service expectations are met.
2026-07-28T00:00:00Z

Lead Android Developer

Toronto, ON
remote
Temporary
50 - 70 CAD / Hourly
We are looking for an experienced Lead Android Developer to join a consumer-focused team building high-impact mobile experiences for users across Ontario. This long-term contract opportunity is fully remote and offers the chance to contribute to a widely used Android application while working closely with product, design, and engineering partners. The role centres on creating scalable features, improving performance and reliability, and delivering high-quality customer experiences in a fast-moving environment. Responsibilities:• Design, build, and enhance Android features for a high-traffic mobile application using modern development practices and Kotlin-based tooling.• Create engaging customer-facing experiences across key product journeys such as content discovery, purchasing flows, and live order visibility.• Develop and refine dynamic feed and recommendation-oriented interfaces that support personalized engagement within the Android app.• Partner with product managers, designers, and cross-functional teammates to translate business goals into well-executed mobile solutions.• Deliver production-ready code at a steady pace while supporting experiments that influence growth, engagement, and retention.• Strengthen application quality by improving performance, maintaining stability across a wide range of Android devices, and addressing challenges in low-connectivity conditions.• Investigate and resolve issues across owned features from initial diagnosis through implementation and validation.• Contribute to a clean, maintainable, and modular codebase that supports long-term scalability and efficient collaboration.• Work with internal development and deployment platforms, version control practices, and CI workflows to support reliable feature delivery.
2026-07-27T00:00:00Z

Data Analyst

Toronto, ON
onsite
Temporary
28.5 - 33 CAD / Hourly
We are looking for a Data Analyst to support fraud-focused analytics initiatives within a banking environment in Toronto, Ontario. This Long-term Contract opportunity is ideal for someone who can turn complex data into practical insights, strengthen fraud detection approaches, and work across technical and business teams. The role combines hands-on analysis with pipeline and reporting support, while partnering with stakeholders involved in lending, operations, and regulatory processes. Responsibilities: • Examine transactional, application, and behavioural data to uncover fraud trends, emerging risks, and actionable patterns. • Write and optimize SQL-based analysis to support investigations, recurring reporting, and ad hoc business requests. • Contribute to the design and refinement of fraud rules by translating analytical findings into practical detection logic. • Support data engineering activities by helping build, validate, and maintain ETL workflows and dependable data pipelines. • Work with large-scale data environments, including platforms such as Trino and Hive, to prepare and analyze banking data efficiently. • Partner with business stakeholders to gather requirements, map processes, and align analytical outputs with branch and lending operations needs. • Interpret lending data in the context of product structures, underwriting practices, and applicable compliance expectations. • Assist with project delivery activities by coordinating analysis tasks, documenting outcomes, and supporting change-related work within financial services technology initiatives.
2026-07-20T00:00:00Z

Database Analyst

Thornhill, ON
onsite
Permanent
50000 - 76000 CAD / Yearly
We are looking for a Database Analyst to support data-driven decision-making for a service-focused organization in Thornhill, Ontario. This role combines database expertise with business insight to turn complex information into clear reporting, campaign analysis, and practical recommendations. The successful candidate will work closely with cross-functional teams to interpret data, evaluate performance, and develop meaningful analytics solutions. Responsibilities: • Analyze marketing and customer data to identify trends, measure campaign results, and provide actionable business insights. • Build, maintain, and optimize database queries and data sets to support reporting, segmentation, and performance analysis. • Develop dashboards and visual reports using tools such as Power BI or Tableau to communicate findings effectively to stakeholders. • Partner with business teams to translate analytical needs into structured reporting and data solutions that support decision-making. • Design and assess tests and experiments to evaluate initiatives, validate assumptions, and improve future campaign performance. • Use programming and database tools to manage large enterprise data environments and ensure reliable access to information. • Prepare clear summaries and presentations that connect analytical results to business objectives for both technical and non-technical audiences. • Support data initiatives involving SQL-based environments, including work completed through SQL Server Management Studio and related platforms when required.
2026-07-28T00:00:00Z