· Analyse 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 the 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

· Good understanding and completion of projects using waterfall/Agile methodology.

· Hands-on experience in DevOps deployment and data virtualisation tools like Denodo will be preferred.

· Understanding of reporting or visualization tool like SAP BO and Tableau is important.

· Track record in implementing systems using Hive, Impala and Cloudera Data Platform will be preferred.

· Hands-on experience in big data engineering jobs using Python, Pyspark, Linux, and ETL tools like Informatica.

· Strong SQL and data modelling and data analysis skills.

· 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.

Data Engineer