Sr. Data Engineer
- Toronto, ON, Canada
Full-time
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Job details
- Job type
- Full-time
- Apply by
- Experience
- Technical criteria that’s needed is being strong with Informatica IICS, Snowflake, Python, AWS, technically broad experience of around 10 years.
- Posting language
- English
- Posted
Original job description
We are looking for a Senior Data Engineer to joint their Data & Analytics team within Data & Technology team, reporting directly to the Director of Data & Analytics.
Soft skills are key here - this person needs to a self-starter who takes initiative, with strong communication and collaboration skills. They’ll be expected to engage in a size and scope exercise alongside the other team members (Product Manager, Data Architect, BA, 2 other Data Engineers, 1 BA Developers).
Technical criteria that’s needed is being strong with Informatica IICS, Snowflake, Python, AWS, technically broad experience of around 10 years. They will be working with batched reporting.
Majority of reports are executive reports, so they are high impact and this person needs to be mindful of how data is being presented– great problem solving skills are important here.
IICS, Tableau, Snowflake, Python– everything has been configured and is in place and on the cloud, no set up or that kind of work required. Might be engaged sometimes if there’s some tools that need batch updates. Sometimes Admin experience will be required in terms of how to set up pipelines, sometimes interacting with vendors, working with the CloudOps team when API is getting enabled with vendors, getting correct permissions etc.
Nice To Have Would Be
– QA framework, validation framework, or control audit framework
– Experience with Data Vault 2.0 (they’re moving from traditional modelling to Data Vault 2.0)
– Real estate or retail experience is a bonus but not necessary.
Soft skills are key here - this person needs to a self-starter who takes initiative, with strong communication and collaboration skills. They’ll be expected to engage in a size and scope exercise alongside the other team members (Product Manager, Data Architect, BA, 2 other Data Engineers, 1 BA Developers).
Technical criteria that’s needed is being strong with Informatica IICS, Snowflake, Python, AWS, technically broad experience of around 10 years. They will be working with batched reporting.
Majority of reports are executive reports, so they are high impact and this person needs to be mindful of how data is being presented– great problem solving skills are important here.
IICS, Tableau, Snowflake, Python– everything has been configured and is in place and on the cloud, no set up or that kind of work required. Might be engaged sometimes if there’s some tools that need batch updates. Sometimes Admin experience will be required in terms of how to set up pipelines, sometimes interacting with vendors, working with the CloudOps team when API is getting enabled with vendors, getting correct permissions etc.
Nice To Have Would Be
– QA framework, validation framework, or control audit framework
– Experience with Data Vault 2.0 (they’re moving from traditional modelling to Data Vault 2.0)
– Real estate or retail experience is a bonus but not necessary.
More about this job
Responsibilities
Build and support batch reporting and data pipelines using Informatica IICS, Snowflake, Python, AWS, and Tableau, with a focus on accurate, well-presented executive reports. Collaborate with the Data & Analytics team on sizing and scoping, pipeline administration, vendor integrations, permissions, and occasional tool updates.
Requirements
The role calls for broad technical experience of around 10 years, strong skills in Informatica IICS, Snowflake, Python, and AWS, and the ability to solve problems and communicate and collaborate effectively. Experience with QA, validation, or control audit frameworks and Data Vault 2.0 is desirable; real estate or retail experience is a bonus.
Skills
- Informatica IICS
- Snowflake
- Python
- AWS
- Tableau
- Batch Reporting
- Data Engineering
- Data Modeling
- Data Vault 2.0
- Pipeline Administration
- Problem Solving
- Communication
- Collaboration
- Initiative
- QA Frameworks
- Data Validation
Visa sponsorship
Not detected in the job text
Categories
- Data & Analytics
- Technology
- Software
Keywords
- Informatica IICS
- Snowflake
- Python
- AWS
- Tableau
- Data Engineering
- Data & Analytics
- Batch Reporting
- Executive Reporting
- Data Pipelines
- Pipeline Administration
- Data Vault 2.0
- Traditional Data Modeling
- QA Framework
- Validation Framework
- Control Audit Framework
- Vendor Integration
- CloudOps
- API Enablement
- Permissions Management
- Problem Solving
- Communication
- Collaboration
- Sizing and Scoping
- Real Estate
- Retail