Key Responsibilities
- Design, build, and maintain scalable data pipelines and systems
- Implement and oversee data integration processes using AWS technologies
- Ensure data accuracy and integrity across diverse data sources
- Optimize and manage data storage solutions with a focus on performance and cost
- Collaborate with AI and BI teams to address their data needs
- Monitor, troubleshoot, and resolve issues in data pipelines promptly
- Keep abreast of the latest trends and advancements in data engineering and adopt best practices
- Participate in code reviews within our Agile development process
Qualifications
- 3-4 years of experience as a Data Engineer or a similar role
- Hands-on experience with AWS technologies, including AWS S3, AWS Glue, AWS Lambda, and Redshift
- Familiarity with Apache Iceberg for data lake management
- Proficiency with AWS Glue or comparable ETL tools
- Strong skills in programming or scripting languages such as Python or PHP
- Deep knowledge of SQL and database management systems
- Excellent problem-solving abilities and keen attention to detail
- Strong teamwork skills and effective communication with stakeholders
Those who are keen for the role and would like to discuss the opportunity further, please click "Apply Now" or email Kin Long at [email protected] with your updated CV.
Only shortlisted candidates will be responded to, therefore if you do not receive a response within 14 days, please accept this as notification that you have not been shortlisted.
Morgan McKinley Pte Ltd
EA Licence No: 11C5502 | EAP Registration No: R2095054
