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Essential Skills: Business Analysis| Informatica PowerCenter| Snowflake| PostgreSQL

1. Claims Policy Data Analysis Analyze structured and semi-structured data related to claims| policies| underwriting| and customer interactions. Identify patterns in claims frequency| fraud indicators| and loss ratios using lakehouse datasets. Support actuarial teams with data extracts and trend analysis. 

2. Customer Risk Insights Segment customers based on behavior| risk profiles| and product usage. Analyze customer lifetime value| churn risk| and cross-sellup-sell opportunities. Collaborate with risk and compliance teams to monitor exposure and regulatory thresholds. 

3. Regulatory Compliance Reporting Prepare data extracts and reports for regulatory bodies (e.g.| OSFI| FSRA| NAIC). Ensure data lineage and traceability for audit and compliance purposes. Validate data accuracy and completeness for filings and disclosures. 

Job Title- Observabilty platform engineer

Location - MISSISSAUGA, ONTARIO

Duration - 12 Month

Contract

Role Descriptions:

Job Purpose

The Observabilty platform engineer will work closely with infrastructure, development, support, anddatabase teams to determine observability requirements and implement filters, events, alerts, anddashboardsprimarily using Dynatrace. This role is responsible for recommending, installing, andmaintaining the Dynatrace platform, and ensuring its optimal use across the organization.

Accountabilities

• This is a hybrid role with minimum of 3 days in office.
• Collaborate with infrastructure, support, development, and database teams to gather requirements anddeploy observability solutions.
• Design, configure, and maintain dashboards, filters, events, and alerts tailored to business needs.
• Perform root cause analysis on events using logs, analytics, and available documentation.
• Conduct proactive health checks and incident reviews, identify gaps or issues and remediate them.
• Review infrastructure and application architecture to recommend appropriate monitoring checks.
• Define, analyze, build, and maintain observability solutions and platforms, with Dynatrace as the centraltool.
• Remediate any risks discovered in the observability platform.
• Install, configure, and maintain Dynatrace agents across various environments.
• Integrate new technologies and applications into the observability platform.
• Provide event correlation mechanisms to reduce alert noise.
• Work closely with technical support to improve customer experience through insights.
• Plan and execute disaster recovery tests on observability platforms.
• Create and maintain documentation and templates related to observability.
• Develop, maintain, and implement monitoring scripts and log queries.

Experience

• 4 years of experience managing observability solutions, with a focus onDynatrace.
• Hands-on experience with Dynatrace, including dashboard creation, alertconfiguration, and agent deployment.
• Familiarity with other monitoring and logging tools (Nagios, Grafana,Splunk, Kibana) is an asset.
• Experience with Linux and command line interface.
• Scriptingprogramming experience (Bash, Java, Python, PowerShell).
• Working understanding of web infrastructure (web servers, loadbalancers, application servers).

Nice To Have

• Understanding of infrastructure components (virtualization, operatingsystems, networks, storage).
• Experience with OpenShiftAKS.
• Experience with cloud technologies (Azure).
• Database experience (PostgreSQL, MS-SQL).

Essential Skills:

Job Purpose

The Observabilty platform engineer will work closely with infrastructure, development, support, anddatabase teams to determine observability requirements and implement filters, events, alerts, anddashboardsprimarily using Dynatrace. This role is responsible for recommending, installing, andmaintaining the Dynatrace platform, and ensuring its optimal use across the organization.

Sr. IFRS17 Data Engineer (C#, SQL, MVC, WPF)
Toronto - Hybrid (4 Days WFO)
12 months


Job Description
Must have IFRS17 working experience with Data Analysis| Insurance domain knowledge
Good to have DATAIKU exposure Expert in Data Analysis| SQL| Python| PySpark
Develop and maintain backend systems using Python| PySpark ensuring high performance| scalability| and reliability
Participate in the design and implementation of data engineering and ETL pipelines using PySpark
Collaborate with cross-functional teams to identify and prioritize project requirements
Mentor and guide engineers| providing technical guidance and code reviews
Stay up-to-date with the latest technologies and frameworks| and apply this knowledge to improve existing systems and processes
Lead the technical direction of the team| including architecture| design| and implementation of software systems
Collaborate with product owners to define and prioritize requirements
Develop and maintain technical documentation| including architecture diagrams| and technical specifications
Participate in code reviews| ensuring high-quality code and adherence to coding standards
Collaborate with DevOps and Operations teams to ensure smooth deployment and operation of applications
Expert in DevOps practices and tools for CICD pipelines
Willingness to learn new technologies and adapt to new challenges
Proven experience in leading technical teams| including technical guidance| mentoring| and coaching
Strong technical leadership skills| including the ability to make technical decisions| prioritize tasks| and manage technical resources
Excellent communication and collaboration skills| with the ability to work effectively with cross-functional teams
Ability to drive technical innovation| including researching new technologies| evaluating technical options| and recommending technical solutions
Strong problem-solving skills| with the ability to debug complex issues| optimize system performance| and ensure high-quality software delivery
Experience with Agile development methodologies| including Scrum or Kanban| and the ability to apply these principles to lead the team
Experience with cloud platforms| including Amazon Web Services (AWS)| Microsoft Azure| or Google Cloud Platform (GCP)Experience with PySpark for Data EngineeringETL pipelines

Essential Skills: More than 5 years of experience as a Business Analyst| Systems Analyst| or Technical Analyst in a complex environment. Strong hands on experience with Temenos T24. Proven experience in designing and configuring core banking application. Strong SQL skills and comfort working directly with data. Programming or technical background sufficient to understand system behavior and constraints. Excellent written and verbal communication skills. Strong stakeholder management and leadership skills| with the ability to collaborate effectively across architecture| security| compliance| business| and development teams in complex enterprise environments.

Perform analysis and validation related to:
ETL Testing
Database Testing
Data Migration
Report Validation
Design and execute test cases in a Big Data environment
Collaborate with Agile teams in an iterative development and testing process
Analyze and validate complex datasets using advanced SQL queries

Essential Skills
Strong experience in Big Data QE and Data Testing
Expertise in writing and understanding complex SQL queries
Hands-on experience with:
GCP BigQuery
ETL Testing
Database Testing
Data Migration Testing
Report Validation
Experience designing and executing test cases in Big Data environments
Experience working in Agile methodologies

Title:- Backend Platform Engineer

Location:- Toronto ON (Hybrid- 4 day’s onsite) Canada.

Duration:- 12+ Months

Contract

Years of Experience: 6-8

Job Summary

We are looking for an experienced Backend Developer with Platform Engineering expertise to build and enhance scalable backend systems, data pipelines, and developer platforms. The ideal candidate will have strong experience in data systems, backend services, and modern platform tools, with exposure to GenAI-driven applications and enterprise data ecosystems.

Key Responsibilities

Design and develop scalable backend services and APIs supporting enterprise platforms

Work with SQL and NoSQL databases for data storage, processing, and optimization

Build and manage data pipelines and ETL frameworks for large-scale data processing and migration

Integrate GenAI-based solutions (RAG, prompt engineering) into backend applications where applicable

Develop and maintain platform tooling using Backstage, including reusable templates and golden paths

Ensure data integrity, performance, and scalability across backend systems

Collaborate with cross-functional teams to define backend architecture and solutions

Support debugging, performance tuning, and production issue resolution

Required Skills

Strong backend development experience with focus on data-centric applications

Hands-on experience with:

SQL and NoSQL databases

Enterprise ETL frameworks and data migration

Good understanding of GenAI platforms, RAG, prompt engineering concepts

Experience with Backstage (developer platforms), software templates, and golden paths

Strong understanding of system design, scalability, and performance optimization

Tools & Methodologies

Experience working with Jira, Confluence

Familiarity with Agile / SAFe frameworks

Soft Skills

Strong analytical and problem-solving skills

Ability to work in fast-paced, collaborative environments

Good communication and stakeholder interaction skills

Role Overview:

• Will be responsible for performing various tasks related to the development, testing, certification, production, and in-service support of Avionics Systems of state-of-the-art business aircraft.  
• Define and manage the overall systems and subsystems requirements to ensure safety, certification & aircraft design requirements and objectives are met.
• Work with the system suppliers as well as other interfacing suppliers and disciplines on the program to ensure the system is properly designed to be integrated smoothly on the aircraft.
• Be responsible for the timely integration of systems, such as AFCS, Communication (VHF, HF, SATCOM, Datalink), Navigation (ADF, VOR, ILS, DME, TCAS, Transponder, IRS, GPS, FMS, Weather Radar), Displays (EFIS, EICAS, HUD, SVS), Information/Maintenance & Recording (IMS, OMS, Data load, CVR, FDR, AHMS), Cabin connectivity, on the aircraft.
• Write, Conduct or Witness development and certification tests on the aircraft and/or on rigs.
• Review, analyze and approve the test results.
• Conduct and support ARP4754 system and aircraft verification and validations.
• Manage, review and approve the deliverables of the Avionics System Suppliers.
• Liaise with Certifying Authorities and/or support their delegates in achieving system certification.
• Support the Final Assembly Line and In Service Aircrafts for any design related issues and bring them to closure.
• Participate in the development and implementation of tools and processes as needed by the function to meet our organizational objectives.
• Participate in the development and implementation of software for customization of crew alerting logic and synoptics pages, I/O configuration into an IMA environment, and automation of aircraft-level functions.

Qualifications

• Hold a university degree in Electrical, Electronics, Software, Aerospace Engineering or equivalent.
• Have worked at least 10-15 years on Avionics / Aircraft development programs.
• Strong knowledge of Avionics Systems and their integration within the aircraft.
• Understand how these systems integrate and interact with the overall aircraft.
• Knowledge and/or Experience in Integrated Modular Avionics (IMA) systems (Asset).
• Have knowledge with the specification, design, integration, test, and certification of Avionics systems on aircraft.
• Familiar with the industry standards DO-178, DO-160, DO-254 and ARP4754 (Asset).
• Strong communication skills (verbal and written).
• Have excellent problem-solving skills, work planning structure and prioritization.

Can work well in a team environment

Skills looking for below

Contact Center & Gen AI

We're looking for an Automation Tester to join a delivery team in Halifax, working primarily with Python and Robot Framework across functional, regression, and integration testing. The ideal candidate is detail-oriented, communicates well across teams, and is comfortable working in a structured QA environment.

What you'll do

• Develop and maintain automation test scripts using Python and Robot Framework
• Execute automated and manual test cases based on project requirements
• Identify, log, and track defects through to resolution
• Collaborate with developers, QA leads, and business teams to understand requirements and ensure adequate test coverage
• Contribute to functional, regression, and integration testing efforts

What you bring

• Strong hands-on experience with Python
• Practical experience with Robot Framework
• Solid understanding of software testing concepts and QA processes
• Experience with test case design and defect management tools
• Eligibility for a mandatory background check
• Valid Canadian work authorization (Canadian Citizen, Permanent Resident, open or closed work permit)

Nice to have

• Experience with API testing
• Familiarity with Selenium or similar automation tools
• Exposure to CI/CD pipelines
• Background in banking or capital markets

Work setup

• Onsite in Halifax, 4 days per week (non-negotiable)
• Contract role with potential conversion after 3 months
• English proficiency required

We're looking for an experienced ETL and data engineering consultant to support enterprise data pipelines and cloud platform operations in Toronto. The ideal candidate brings strong SQL and Python skills, hands-on ETL experience, and a production-focused mindset for building and maintaining reliable data workflows.

What you'll do

• Build, maintain, and troubleshoot batch ETL pipelines with complex dependencies
• Perform advanced SQL transformations, debugging, and performance tuning
• Support data quality checks, reconciliation logic, and validation frameworks
• Work across source, staging, transformation, and target layers to perform deep-dive analysis
• Contribute to CI/CD pipelines and Git-based workflows for data engineering
• Collaborate with platform and delivery teams on cloud-based data infrastructure

What you bring

• 5+ years of experience with ETL tools such as Talend, Informatica, or Python-based pipelines
• Advanced SQL skills for complex transformations and performance tuning
• Hands-on experience with Snowflake and/or Databricks, preferably in AWS environments
• Working knowledge of Python for data processing, automation, or validation
• Solid understanding of data modeling — both relational and dimensional
• Familiarity with cloud security concepts including IAM and RBAC
• Experience with Docker and some exposure to Kubernetes-based deployments
• Experience with Git and CI/CD pipelines for data workflows
• Strong production mindset with attention to logging, alerting, monitoring, and failure recovery
• Eligibility for a mandatory background check

Nice to have

• Experience with CDC tools such as IBM CDC or Debezium
• Ability to read and interpret generated SQL, Java, or ETL tool metadata

Work setup

• Hybrid in Toronto, ON
• 12+ month contract
• English proficiency required