Senior Data Engineer to assess and qualify disparate data and define data models to present dat[...]

2 weeks ago

Ottawa, Canada S I Systems Full time
Senior Data Engineer to assess and qualify disparate data and define data models to present data of provider and clinic service locations province-wide- SOW20240430MB1/ 2/ May 7th

Job Type: Contract

Positions to fill: 1

Start Date: May 21, 2024

Job End Date: Dec 23, 2024

Pay Rate: Hourly: Negotiable

Job ID: 137314

S.i Systems healthcare client is looking for a Senior Data Engineer to assess and qualify disparate data and define data models to present data of provider and clinic service locations province-wide- SOW20240430MB1/ 2/ May 7th

6 month contract to start, chances of extension. Remote working PST hours.

Must Haves:

  • Experience as a Data Engineer/ Data Modeler
  • R experience and knowledge of other programming languages- Java, Python, etc
  • Expertise with data models, data mining, and segmentation techniques

Nice to haves:

Project Description:

The Data Engineer will work in a complex project environment to assess and qualify disparate data and define data models that will provide DHI with the Health Map listings necessary to present a holistic presentation of provider and clinic service locations province-wide. The resource must be comfortable working across various duties, from data analysis and solution design to developing iterative data models and mapping in DHI’s data handling and transformation platform. The resource must be equally comfortable handling sensitive data to generate broad insights and recommendations and working with a technical team to visualize and prepare a data management solution that works across numerous up and downstream enterprise systems.

·Analyze data from multiple and disparate data sources.

·Conduct complex data analysis and report on query /report results.

·Assess and qualify referential data across systems.

·Identify gaps and patterns across data sets to propose data-based solutions that create new information from disparate datasets.

·Build conceptual, logical, relational, and/or physical data models.

·Assess data and associated data flows from privacy and security perspectives as defined by the organization.

·Collaborate with analysts, project managers and system/data stewards to identify, design and implement project solutions.

·Ingest, handle, and develop queries and commands using SQL-based datasets.

·Apply a system approach to improve data quality and insight generated from ingested and transformed data.

· Translate data modelling to technical or solution architecture diagram documentation.

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