About the Role
The role involves building and managing data pipelines, implementing data storage solutions, and ensuring data quality and reliability using Azure technologies.
Responsibilities
- Design and implement data workflows and ETL processes on Azure platforms
- Develop and maintain data storage solutions using Azure Data Lake and Blob Storage
- Support integration of data from multiple sources into centralized repositories
- Optimize data pipelines for performance, scalability, and reliability
- Collaborate with analytics and engineering teams to meet data requirements
- Ensure data quality, consistency, and accessibility across systems
- Monitor and troubleshoot data pipeline issues in production environments
- Implement data security and compliance standards within cloud infrastructure
- Document data architecture, processes, and system configurations
- Contribute to continuous improvement of data engineering practices
- Work with stakeholders to understand reporting and analytics needs
- Support testing and validation of data models and transformations
- Assist in defining data governance policies and standards
- Use version control and CI/CD practices for data pipeline deployment
- Stay current with emerging Azure data services and best practices
- Participate in code reviews and technical design discussions
- Troubleshoot and resolve data integration issues
- Support migration of on-premises data solutions to cloud environments
- Ensure efficient data processing using Azure Databricks and Synapse
- Collaborate on data modeling and schema design
- Maintain awareness of data privacy and regulatory requirements
- Provide technical guidance on data infrastructure decisions
- Assist in capacity planning for data storage and processing
- Work in agile project environments with iterative delivery cycles
- Support documentation and knowledge sharing across teams
Compensation
Competitive salary based on experience and local market standards
Work Arrangement
Remote - Malaysia
Team
Collaborative, cross-functional team focused on data systems and analytics
About Us
We support philanthropists and organizations in designing and managing impactful giving strategies. Our work spans global initiatives, leveraging data to improve transparency, effectiveness, and collaboration in the philanthropic sector.
Application Process
Interested candidates should submit a resume and cover letter. Shortlisted applicants will be contacted for interviews. The process may include technical assessments and team discussions.
Not available
