Be Our Data Integration Engineer The Data Integration Engineer is responsible for data integration, data collection and data transformation to support internal & external needs as well as establishing data integration architecture standards. Who Are We CompAsia is a digital and technology company that provides end-to-end solutions for certified pre-owned devices focusing on the mobile phone life-cycle value chain. Our focus is on delivering a mobile phone lifecycle experience not limited to Trading, Financing and Insurance. What Role Will You Play in Shaping CompAsia's Future To design, build and implement data integration pipeline to integrate, transform and validate data from multiple data sources to be ingested into CompAsia Data Warehousing or CDP solutions. Collaborate with different application and business team to design, develop and implement different data integration requirements. Build and implement ETL processes, access various data sources and apply data quality measures. To study and analyse data integration requirements from various stakeholder and provide feasible solutions and implementation timeline. Ability to write customs scripting to handle data segmentation, data cleansing and data transformation. Resolve complex data integration platform related issues. Coordinate with vendors for product related issues, patches, bug fixes and upgrades. Collaborate with appropriate stakeholders on defining and implementing technology direction/roadmap within data integration technology space. Provides status reports and metrics on assigned projects. What Qualifications and Experience Will You Bring to Excel in This Role University graduate, preferably in Computer Science or IT or related disciplines. 4+ years of experience in data integration, data pipeline and transformation. 3+ years of experience in customs scripting (e.g. Python, Scala / Java). 2-3 years of experience in Data Warehousing and CDP. 2-3 years of experience in Data Warehousing databases such as Amazon RedShift, Snowflakes and/or Databricks. Experience in using ETL tools such as Fivetrans, Talend Data Studio, Airbytes, etc. Experience and knowledge in tools for data collection, transformation and data visualisation. Experience and knowledge in integration technologies such as Kafka Connect, AWS Glue, etc is an added advantage. Ability to multitask and prioritize in a fast-paced environment Ability to make sound technical decisions Ability to develop relationships and work with a wide variety of people.