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

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 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.

Mandatory:

Possesses a bachelor’s degree in information technology, Engineering or Computer Science. Minimum of five 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.