Data Engineer

Responsibilities 

Data Warehousing and Management 

• Communicate with system developers to design and develop data collection and data modelling 

• Connect with data analysts and scientists to transform data to actionable insights, features and models 

• Maintain and improve data warehouse architecture and big data platform 

• Build, automate and maintain real-time and batch data ingestion and transformation ELT pipeline 

• Build, monitor and improve metadata, data quality and data governance Solution and Technology Enabler 

• Administrator, integrate and manage end-to-end data systems such as Tableau & Talend 

• Stay abreast of emerging technologies, open source projects and best practices in the field 

• Propose fundamental data tools development or enhancement requirements 

• Design and build data products and analytics applications that meet business needs 

• Be keen on understanding areas of business, analytics and mobile applications 

Qualification:

Essential skills: 

• Minimum of 1 year relevant work-experience as a data engineer; Fresh graduate are welcome  

• Deep knowledge of relational and non-relational database; Hands on experience in data warehouse  

• Understanding of Hadoop ecosystem such as Hive, Impala, HDFS, Cloudera, Spark, Kakfa, Flink  

• Experience with data pipeline and workflow tools such as Talend, Azkaban, Airflow, Nifi  

• Experience with data visualization tools such as Tableau, Grafana 

• Good coding skill in at least one of Python, Java, Scala, shell scripting and/or similar languages 

• Familiar with APIs, JSON, REST and other relevant W3C open standards 

• Proficient in English 

Essential attributes: 

• Can-do attitude and excited to learn new technologies 

• Open-minded and able to communicate your ideas effectively 

• Work-smart and Problem-solving mindset  

• Start-up working spirit and Agile  

Please note that we will get in touch with shortlisted candidates only.