DataOps/Cloud Data Engineer – Senior

DataOps/Cloud Data Engineer – Senior

Pay Rate: (flexible)

Location: Toronto, Ontario

Contract Length: 12 Months, Hybrid

 

We at Raise are hiring right now for one of our Clients. If you’re interested, apply below for your chance to join a great place to work.

 

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.

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

Total evaluation criteria: 100 Points

Deliverables

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 of experience in using SQL, Database design and Python.

· Working knowledge of PowerBI

Looking for meaningful work? We can help!

Raise is an established hiring firm with over 65 years of experience. We believe strongly in making the world a better place through work, which is why we’re a certified B Corporation and donate 10% of our profits to charity.

 

We strive to build teams that reflect the diversity of the communities we work in. We encourage all qualified applicants to apply, including people from traditionally underrepresented groups such as women, visible minorities, Indigenous peoples, people identifying as LGBTQ2SI, veterans, and people with visible/nonvisible disabilities.

 

We have a dedicated webpage for accommodations where you can learn more about what we offer, and request accommodation: https://raise.jobs/accommodations/

 

In order to submit candidates for roles, our clients will sometimes require personal information to confirm the identity of applicants and their legal status to work. Raise will never ask you for personal or banking information unless you have been selected for a job. If you are ever unsure about the legitimacy of this or another job posting by Raise (or have any other questions), please contact us at +1 800-567-9675 orhello@raiserecruiting.com

DataOps/Cloud Data Engineer – Senior

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