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Global Excel Management

Global provider of healthcare risk management

Data Developer 2

Data EngineeringConfirmed live in the last 24 hours
Contract

About the Job

Requirements

  • A bachelor's or graduate degree in computer engineering, mathematics, data science, or a related discipline is required.
  • At least 4 years of professional experience in a related field is required.
  • Experience with relational and NoSQL databases, including MS SQL Server, Snowflake, PostgreSQL, or MariaDB, is required.
  • Experience with cloud platforms and cloud-based data services is required; Azure is preferred.
  • Experience with data modeling and transformation tools such as DBT is required.
  • Experience with ETL tools such as Azure Data Factory, Airflow, or Informatica is required.
  • Knowledge of APIs and data integration strategies is required.
  • Advanced proficiency in modern data technologies such as Snowflake, DBT, and Azure Data Factory is required.
  • Strong experience with SQL and data pipeline automation is required.
  • A deep understanding of data governance frameworks, data quality management, and security protocols is required.
  • A proven track record designing and implementing cloud-based data architectures focused on scalability, security, and cost-efficiency is required.
  • Ability to collaborate across teams, communicate technical solutions, and drive consensus on best practices is required.

Responsibilities

  • Design, develop, and maintain modern data pipelines, data warehouses, and data lakes using Snowflake and Azure Data Services.
  • Architect data solutions using DBT for data transformation and Azure Data Factory for pipeline orchestration.
  • Collaborate with business and data teams to translate data requirements into efficient data models and ensure compliance with data governance and architecture standards.
  • Use cloud-native data services, including Azure Storage, to optimize data management and scalability.
  • Implement and automate data quality checks using tools such as DBT tests.
  • Implement and enforce data governance policies and procedures to ensure data quality, consistency, and compliance.
  • Develop and maintain data dictionaries, data lineage, and metadata management processes.
  • Collaborate with stakeholders to define data standards, naming conventions, and data classification.
  • Provide mentorship within the development team.

Desired Qualifications

  • Relevant certifications in Azure Data Services or Snowflake are a plus.
  • Azure cloud platforms are preferred.

About the Company

Global Excel Management

Global provider of healthcare risk management

Global Excel provides global healthcare risk management solutions, offering risk mitigation, cost containment, claims management, and medical assistance to employers and organizations worldwide. It coordinates healthcare risk programs, processes and adjudicates claims, and gives medical assistance through a global network, handling hundreds of thousands of cases and nearly $2 billion in claims each year. Its large, multinational footprint and integrated, end-to-end services set it apart from competitors by covering prevention, cost control, claims handling, and medical support at scale. The goal is to help clients manage healthcare risk more effectively, reduce costs, and ensure timely medical support across a global footprint.

Company size
501-1,000
Company stage
Not listed
Total funding
Not listed
Headquarters
Sherbrooke, Canada
Founded
1996

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