RQ00454 DataOpsCloud Data Engineer Senior

Toronto - Canada

Monthly Salary: CAD 101 - 101

Experience Required: 7-10years

Posted on: 10 hours ago

Vacancies: 1 Vacancy

Job Summary

Must haves:

5 years of experience in using SQL Database design and Python.
Working knowledge of PowerBI

Responsibilities:

Collaborate with analysts and data scientists to develop fit-for-purpose data products.
Write and manage code for data masking cohort creation and patient identification algorithms.
Design and build analytics-ready data tables for specific use cases.
Optimize large datasets for performance processing and querying.
Work with diverse domain data assets and formats.
Partner with Data Architecture ETL and IT Operations to support sandboxes and operationalize data assets.
Apply modern data engineering practices for consistency scalability and reliability.
Communicate technical approaches and insights to stakeholders at all skill levels.
Make sound decisions when navigating complex or ambiguous data engineering issues.

Desired skills:

Familiarity with SAS and Informatica ETL tool
Ontario Healthcare data privacy standards and policies
Familiarity with Microsoft Azure product line
Familiarity with Federal and provincial health care data

Required skills:

Good documenting skills for technical approaches
Communicating effectively with stakeholders of varying technical expertise and
Applying modern data engineering practices to ensure consistency reliability and timely delivery of high-quality data assets.

Requirements

Evaluation Criteria:

5 years of experience in using SQL Database design and Python. : 35 Points
Experience working with relational databases including writing SQL queries.: 35 Points
Communication and stakeholder engagement skills.: 20 Points
Experience applying modern data engineering practices.: 10 Points

Deliverables Include but are not limited to:

Reusable data transformation and data provisioning scripts
Analytics-ready data and information assets
Cohort creation and patient matching algorithms
Optimized SQL views and performance-tuned data structures
Technical documentation: data dictionaries lineage diagrams architecture notes data information sheets data and Information assets catalogue
Environment setup optimization and support
Reports and presentations for technical and non-technical stakeholders

Must Haves:

5 years experience years of experience in using SQL Database design and Python.
5 years experience Working knowledge of PowerBI

Must haves:5 years of experience in using SQL Database design and Python.Working knowledge of PowerBIResponsibilities:Collaborate with analysts and data scientists to develop fit-for-purpose data products.Write and manage code for data masking cohort creation and patient identification algorithms.De...