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Data Integration Engineer (IT service management company)
About the job Data Integration Engineer (IT service management company)
Job Title: Data Integration Engineer (IT service management company)
Location: Phnom Penh, Cambodia
Experience Level: Middle
Industry: Information and Technology
Salary: $ 2000 - 4000
Are you a skilled Data Integration Engineer looking for a challenging opportunity to contribute to innovative projects in Cambodia? a dynamic and forward-thinking organization, is seeking a talented individual to join our team. If you have a strong background in data integration, a passion for technology, and a desire to make a meaningful impact, we want to hear from you!
Main responsibilities
- Data Integration:Design, develop, and implement robust data integration solutions, ensuring seamless connectivity and interoperability between various systems and databases.
- ETL Processes: Build and optimize Extract, Transform, Load (ETL) processes to efficiently move and transform data across platforms.
- Data Modeling: Collaborate with data architects and analysts to design and implement effective data models that support integration requirements.
- API Development: Create and maintain application programming interfaces (APIs) for data exchange and communication between systems.
- Quality Assurance: Implement data quality checks and validation processes to ensure accuracy and reliability of integrated data.
- Troubleshooting: Identify and resolve data integration issues promptly, providing technical support and troubleshooting when needed.
- Documentation: Maintain comprehensive documentation for data integration processes, workflows, and system configurations
Desired Qualities and Qualifications:
- Bachelors degree in Computer Science, Information Technology, or a related field.
- Proven experience as a Data Integration Engineer with a minimum of 3 years working on data integration projects
- Proficiency in data integration tools and technologies (e.g., Informatica, Talend, Apache Nifi).
- Strong understanding of ETL processes and data warehousing concepts.
- Experience with API development and integration.
- Knowledge of data modeling and database design principles.
- Analytical mindset with the ability to identify and solve complex data integration challenges.
- Ability to work in a dynamic and fast-paced environment, adapting to emerging technologies and industry trends.