evanya consulting ltd

Senior Data Engineer

LocationRegina, SK
Job TypeFull-time

About This Job


THE ROLE

eHealth Saskatchewan (eHealth) is currently looking for two (2) Senior Data Engineers to work with data from across the spectrum of healthcare domains, refining requirements with customers, developing data models, extracting data from various source systems and database formats, and providing data in a number of formats including Extract, Transform, Load (ETL) aligned with Informatica software. The Senior Data Engineers will report to the Manager of Data Management, work with a project team lead by a Project Manager and will provide the required leadership and communication to ensure deliverables are met on time and on budget. This is a highly visible, busy, and challenging role that will be focused on supporting major analytics projects.


Duties & Responsibilities

The Successful Supplier will undertake the subsequent assigned tasks and responsibilities, which include but are not limited to the following:

Design and build the infrastructure required for optimal extracting, transformation, and loading of data from a wide variety of data sources using Informatica, SQL, SSIS, API and other technologies.
Architect relational and multi-dimensional databases from structured, semi-structured and unstructured data with development techniques including star and snowflake schemas, ETL, Slow Changing Dimensions (SCD), Fact and Cube development in a data management framework in conjunction with the Provincial Data Platform Infrastructure.
Identify, design, and implement internal process improvements: automate manual processes, optimize data delivery, re-design data pipelines for greater scalability.
Build analytics tools that utilize the data pipeline to provide actionable insights into customer acquisition, operational efficiencies, and other key business performance metrics.
Develop, maintain, optimize, troubleshoot, debug, monitor, backup and recovery operations for the ETL environment.
Analyze datasets to ensure compliance with data sharing agreements and legislation restrictions, and for alignment with data architecture guidelines.
Mentor, support and train Information Analyst and junior Data Management resources, as required.


Mandatory Resource Qualifications/Requirements

The proposed Resource must have the following qualifications/requirements:

Possesses a bachelor’s degree in information technology, Engineering or Computer Science.
Minimum of five (5) years of proven experience working as a Data Engineer or similar role.


Resource Qualifications/Requirements

The ideal Resource(s) will have the following qualifications and have experience fulfilling the following job requirements:

Experience using Informatica software (i.e., Power Centre, Integration Services, Workflow Manager, IDMC and TDM) in an integrated support environment.

The ideal Resource(s) should have expert knowledge of:

Oracle and SQL Server Database Management Systems and tools.
ETL and data pipeline development experience; providing technical consulting and guidance to development teams for the design and development of highly complex or critical ETL architecture.
Computer programming languages such as PL/SQL, R, Python.
Operating systems such as Unix, Linux, and Windows.
Shell Scripting language.
Data Application Programming Interface (API).
Algorithms and data structures.

The ideal Resource(s) should have extensive experience with:

Information management, logic modeling, conceptual, business process, and workflow design.
Requirements gathering, analysis, plan, design, develop, implement, and maintain Data Management systems.
Critical, constructive, and creative problem-solving skills that involve issue identification, development of objectives, development of an action plan overseeing what needs to done, while identifying the resources required to ensure quality products.
Cloud platform for data management.

It would be an asset for the ideal Resource(s) to have:

Microsoft Certified: Azure Data Engineer Associate would be considered an asset.
Experience working with healthcare data would be considered an asset.


Anticipated Start Date - Immediate Availability


Job Type: Full-time


Flexible language requirement:


French not required


Schedule:


Monday to Friday

Work Location: Hybrid remote in Regina, SK S4P 0J5

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