LP
Datastage ETL
LinkedIn Recruiter Post
Aarorn Technologies seeks a Datastage ETL contractor with 5+ years of experience for a hybrid role in Toronto. Must have IBM InfoSphere DataStage, SQL, Unix scripting, and scheduling skills.
About the role
- Manager leading complex Data Engineering teams at Intact to deliver high-impact platform and product outcomes. Overseeing Oracle to Snowflake migration and modernizing data ecosystems.
Responsibilities
- Build, develop, and retain high-performing Data Engineering / Software Engineering teams, ensuring the right mix of skills and behaviors
- Recruit key talent and evolve team composition as program phases and priorities shift
- Own end-to-end planning and delivery for complex initiatives: discovery, design/refactoring, build, test, release/cutover, and decommissioning as needed
- Establish scope, milestones, budgets, timelines, dependencies, and risk/issue management; maintain dashboards and KPIs
- Divide work into achievable tracks with clear roles and responsibilities, balance business needs with individual strengths and aspirations
- Provide technical leadership to the team, understanding the solutions and propose improvements and adjustments for efficiencies using modern technology
- Promote responsible AI usage to accelerate code understanding, refactoring, documentation, testing, and analytics—defining standards and guardrails for privacy, security, and validation
- Build strong relationships with product, architecture, security, finance, and business partners
- Communicate complex technical concepts and trade-offs clearly to technical and non-technical audiences, document and report progress
- Ensure governance adherence; proactively escalate risks and drive timely decisions
- Ensure adoption of best practices across data modeling, coding, version control, testing, observability
- Embed security and data governance (access controls, classification, privacy/compliance) into platforms and pipelines
- Promote communities of practice, knowledge sharing, and built-in quality; continually optimize processes and tools
Requirements
- Bachelor’s degree in information technology/software engineering or equivalent education and experience
- 10+ years across data engineering/analytics/AI/software engineering, with 5+ years leading large teams and complex initiatives
- Proven experience leading enterprise data platform programs and migrations between major DWH technologies (e.g., Oracle, Teradata, SQL Server) and modern cloud platforms (AWS, Snowflake, Databricks)
- Up to date with technology advancements and market trends in data platforms, analytics engineering, AI/ML tooling, and cloud services
- Understanding of: Data modeling (dimensional, data vault), orchestration (e.g., Airflow, Control M), CI/CD for data, data quality, and observability
- Modern data stack AI/LLM tools to accelerate development and analysis, with clear validation and governance practices
- Strong stakeholder management, influence, and communication skills; able to navigate ambiguity and drive cross-functional decisions
- Track record hiring, coaching, and leading large teams with high engagement, accountability, and inclusion
- For candidates located in Quebec, bilingualism is required (French and English): Need to interact on a regular basis with colleagues across the country.
Benefits
- Flexible work arrangements and a hybrid work model
- Possibility to purchase up to 5 extra days off per year
- Multiple benefits offered to support physical and mental wellbeing, including telemedicine, Wellness account and much more
- Share plan & other savings: up to 12% of salary or even more (ask how you could earn guaranteed income for life)
- Annual bonus target, based on the base salary, with a potential payout of up to double the target (subject to personal and company performance): 15%
Job title
Job type
Experience level
Salary
Degree requirement
Tech skills
Location requirements
Report this job
Found something wrong with the page? Please let us know by submitting a report below.
LP
Azure Databricks Developer-HR Platforms
LinkedIn Recruiter Post
Azure Databricks Developer needed for HR tech projects at a top financial client. Design ETL solutions, support data integrations, and modernize HR data platforms.
Senior Software Engineer, Data responsible for building data pipelines and maintaining infrastructure for analytics and ML. Collaborate with teams to optimize data systems at Narvar.
Data Architect leading conversations and decisions on data modeling at a global consulting firm specializing in Data & Analytics. Transforming complex processes into clear, reusable information models.
Senior Data Engineer at Supabase managing data pipelines from source to analysis. Collaborating with growth, finance, and product teams to drive business insights.
LP
Data Architect – Snowflake
LinkedIn Recruiter Post
Data Architect - Snowflake needed for full - time hybrid role in Markham, ON. Expertise in Snowflake on AWS, data migration, and ETL required.
LP
Datastage ETL
LinkedIn Recruiter Post
Hiring Datastage ETL contractor for hybrid role in Toronto. Requires 5+ years experience with IBM DataStage, SQL, Unix scripting.
LP
Data Architect (Snowflake & DBT)
LinkedIn Recruiter Post
Data Architect needed to architect and implement Snowflake on AWS solutions, with 8+ years experience in data architecture and engineering.
Associate Data Architect collaborating with stakeholders to design scalable data architecture for AXIS Capital. Maximizing profit through data - driven decision making and implementing effective data governance strategies.
Data Engineer II at Finning supporting production data platforms and integrations using Snowflake, Databricks, Azure services. Collaborating with teams to ensure operational stability and reliability.