Job Description:

• Becoming a Cloud Platform and on-prem data expert on services relating to data engineering stuff
• Design, build and maintain data architecture or data pipeline depending on use cases, Working out a solution to support customers’ data pipeline
• Enhance Data quality and give advice on data processing-concerns such as Change Data Capture (CDC) 
• Create ETL script or stored procedure to deliver data as needed 

Qualification:

• Bachelor’s Degree or Master’s Degree in Computer Science, Engineering, IT or similar
• Understanding of data architecture principles or data pipeline design is preferred.
• Experienced working with huge data and being good at data modelling (data warehousing / data management) Required
• Experienced with API based interactions and bulk integration to cloud-based platforms Prefered
• Be able to develop ETL scripts using python or SQL Required
• Systems administration skills in Linux 
• Any experience with ETL tools and Big data tools either on-premise or cloud-based Prefered
• Knowledge of a container such as Kubernetes and Docker
• Open-minded for Multi-purpose responsibility
• Be able to communicate in English