Job Summary
You will be working with our client in the financial services industry. Your main responsibility includes designing, developing, and maintaining the data ingestion and processing jobs as per business requirements. You will also be integrating data sets to provide seamless data access to users.
Responsibilites
- Analyze the 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.
- Work with technical teams to ensure smooth deployment and adoption of new solution.
- Ensure the smooth operations and service level of IT solutions.
- Support production issues - Track record in implementing systems with high availability, high performance, high security.
Experiences
- Bachelor's Degree in Information Technology, Computer Science or equivalent
- Minimum of 4 years of experience managing data engineering jobs in big data environment e.g., Cloudera Data Platform.
- 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.
- Track record in implementing systems using Hive, Impala and Cloudera Data Platform will be preferred.
- Hands-on experience in DevOps deployment and data virtualization tools like Denodo will be preferred.
- Understanding/ Hands on experience of reporting or visualization tool like SAP BO and Tableau will be beneficial but not required.
- Passion for automation, standardization, and best practices
- Good written and verbal communication and interpersonal skills, ability to understand the business requirement, communicate confidently with stakeholders.
- Good understanding and completion of projects using waterfall/Agile methodology.
- Good understanding of analytics and data warehouse implementations.
- Ability to troubleshoot complex issues ranging from system resource to application stack traces.
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 [email protected] 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 Talent Solutions
Morgan McKinley Pte Ltd EA Licence No: 11C5502
EAP Registration No: R2196712
EAP Name: Chew Kai-Xinn
