Sr. Data Engineers to work with data from across the spectrum of healthcare domains, refining r[...]

Annex Consulting Group; Edmonton; On-site; CAD 90,000 - 120,000; Full time

Job summary

A leading consulting firm is seeking two Senior Data Engineers to enhance healthcare data management. The role involves designing data models, building ETL pipelines, and collaborating with project teams to deliver analytics solutions. Candidates should have a Bachelor's degree in Information Technology or related fields and over 5 years of data engineering experience, particularly with Informatica and cloud platforms.

Qualifications

• Minimum of five (5) years of proven experience working as a Data Engineer or similar role.
• Experience working with healthcare data is a plus.

Responsibilities

• Design and build infrastructures for optimal data extraction, transformation, and loading.
• Architect databases from structured and unstructured data.
• Optimize internal processes and data delivery.

Skills

Informatica software

Expert knowledge of Oracle

Expert knowledge of SQL Server

ETL and data pipeline development

PL / SQL

Python

Shell Scripting

Data API

Algorithms and data structures

Cloud platform for data management

Education

Bachelor's degree in Information Technology, Engineering or Computer Science

Tools

Unix

Linux

Windows

Job description

Overview

Our client is looking for 2 Sr. 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.

Overview

The Senior Data Engineers will report to the Manager of Data Management, work with a project team led 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.

Mandatory

• 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

Must Have's

• Experience using Informatica software (i.e., Power Centre, Integration Services, Workflow Manager, Intelligent Data Management Cloud (IDMC) and Test Data Management (TDM) in an integrated support environment.
• Expert knowledge of Oracle and SQL Server Database Management Systems and tools
• Expert knowledge of 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
• Information management, logic modeling, conceptual, business process, and workflow design
• Requirements gathering, analysis, plan, design, develop, implement and maintain Data Management systems.
• Cloud platform for data management

Nice to Have's

• Microsoft Certified : Azure Data Engineer Associate
• Experience working with healthcare data

Responsibilities

The Successful Suppliers 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, Structured Query Language (SQL), SQL Server Integration Services (SSIS), Application Programming Interface (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, Extract, Transform, Load (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 analysts and junior data management resources, as required.