Job Summary
You will be working with our client who are well renowned in the public and financial sector. They are seeking a highly skilled and experienced Big Data Engineer to join the team. The ideal candidate will have a minimum of 4 years of experience managing data engineering jobs in big data environment e.g., Cloudera Data Platform. The successful candidate will be responsible for designing, developing, and maintaining the data ingestion and processing jobs. Candidate will also be integrating data sets to provide seamless data access to users.
Responsibilities
- Analyse data needs and document the requirements.
- Refine data collection/consumption by migrating data collection to more efficient channels.
- Plan, design and implement data engineering jobs and reporting solutions to meet the analytical needs.
- Develop test plan and scripts for system testing, support user acceptance testing.
- Build reports and dashboards according to user requirements
- Work with internal technical teams to ensure smooth deployment and adoption of new solution.
- Ensure the smooth operations and service level of IT solutions.
- Support production issues
Requirements
- Bachelor's Degree in Computer Science, Computer Engineering, or a related field
- Strong SQL, data modelling and data analysis skills are a must.
- Hands-on experience in big data engineering jobs using Python, Pyspark, Linux, and ETL tools like Informatica.
- Hands-on experience in a reporting or visualization tool like SAP BO and Tableau is must.
- Hands-on experience in DevOps deployment and data virtualisation tools like Denodo will be an advantage.
- Track record in implementing systems using Hive, Impala and Cloudera Data Platform will be preferred.
- Good understanding of analytics and data warehouse implementations.
- Ability to troubleshoot complex issues ranging from system resource to application stack traces.
- Track record in implementing systems with high availability, high performance, high security hosted at various data centres or hybrid cloud environments will be an added advantage.
- Passion for automation, standardization, and best practices.
- Good understanding and completion of projects using Waterfall/Agile methodology.
If you are interested in this role and would like to discuss the opportunity further please click apply now or email Chew Kai-Xinn at [Confidential Information] for more information.
Only shortlisted candidates will be responded to, therefore if you do not receive a reply within 14 days please accept this as notification that you have not been shortlisted.
Morgan McKinley Pte Ltd
Chew Kai-Xinn
EA Licence No: 11C5502
EAP Registration No: R2196712
