Data Engineer

. Analyse the Client 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 client technical teams to ensure smooth deployment and adoption of new solution.

. Ensure the smooth operations and service level of IT solutions.

. Support production issues.

. 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