Seeking a highly motivated and skilled Dotnet full stack Developer to join the Epsilon People cloud Loyalty Client Delivery Team to deliver high-quality software solutions using Microsoft .NET technologies.
Responsibilities
Collaborate with clients and internal stakeholders to gather and analyse requirements.
Customize, develop, test, and maintain software applications using .NET technologies (ASP.NET, C#, .NET Core, etc.).
Develop frontend applications along with middleware and backend.
Maintain high standards of software quality by establishing good practices and habits.
Troubleshoot and resolve application issues in a timely manner.
Requirements
Bachelor’s degree in computer science or a related field or equivalent experience
The candidate will work in the Command Center of a large, 24X7 multinational bank holding company where mainframe availability is mission critical, working via virtual connectivity.
Compensation
Rate range -$30-$35
Responsibilities
Work in the Command Center of a 24X7 multinational bank holding company
Exercise judicious use of privileged Mainframe access
Adhere to security and operational policies
Use virtual connectivity techniques such as phone, chat, Teams and Zoom
Requirements
Nice to have: Knowledge of IBM Z Mainframe and z/OS
Nice to have: Knowledge of OS/390 Operations
Nice to have: JCL and batch problem diagnostic skills
Nice to have: Knowledge of Data Transfer protocols
Provide a broad range of data engineering functions including data modeling, data quality, data profiling, data acquisition and ingestion, extract transform load (ETL), metadata enrichment and management, data provenance and lineage, and other specialized data management functions.
Compensation
$81,600 - $115,200 CAD
Responsibilities
Perform data analysis and assess data management requirements for a specific Platform or Journey, including complex analysis involving multiple pods or products
Maintain expert knowledge of upstream data, including knowledge provided through data profiling, data quality reporting, and via the production of metadata
Support the acquisition and ingestion of data
Articulate complex, large scale, and high impact technical design and development details to non-technical business partners
Elicit, analyze, and understand business and data requirements to develop complete business solutions, including data models (entity relationship diagrams, dimensional models), ETL and business rules, data life-cycle management, governance, lineage, and metadata
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