If you are an experienced and passionate Data Engineer who enjoys working in a highly entrepreneurial work environment, this is the opportunity for you. Excellent career opportunity to manage, design, develop and deliver the data integration environment for a fastgrowing organisation in Malaysia!

Mandatory Skill(s)

  • Bachelors in IT, Computer Science or Engineering;
  • At least 4 years of experience in data warehouse, operational data store and large scale data architecture implementations in Unix/ Windows;
  • At least 3 years of big data technologies (e.g. Hadoop, Hive, Spark);
  • At least 3 years of experience in doing data modeling, data mart designing and implementing;
  • Strong handson development experience with Talend ETL (or similar tools) to transform complex data structure in a multidata source environment;
  • Familiar with ETL/ ELT framework, data warehouse concepts, data management framework and data lifecycle processes;
  • Strong knowledge in handling different database technologies (RDBMS, NoSQL and Columnar);
  • Extensive experience working with data visualization (e.g. Tableau);
  • Strong understanding of programming and scripting languages like Python, Java, Shell and PLSQL;
  • Proven track record of solving challenging problems by applying advanced analytics;
  • Good analytical ability, conceptual thinking, planning and organisational skills.

Desirable Skill(s)

  • Experience in the financial sector (e.g. insurance/banks) will be preferred.


  • Design, develop, document and implement endtoend data pipelines and data integration processes, both batch and realtime;
  • Perform data analysis, data profiling, data cleansing, data lineage, data mapping and data transformation;
  • Develop ETL / ELT jobs and workflows, and deployment of data solutions;
  • Monitor, recommend, develop and implement ways to improve data quality including reliability, efficiency and cleanliness to optimize and finetune ETL/ ELT processes;
  • Recommend, execute and deliver best practices in data management and data lifecycle processes, including modular development of ETL/ ELT processes, coding and configuration standards, error handling and notification standards, auditing standards, and data archival standards;
  • Prepare test data, create and execute test plans, test cases and test scripts;
  • Collaborate with different stakeholders to understand data needs, gather requirements and implement data solutions to deliver business goals;
  • Provide technical support for any data issues and change requests, document all investigations, findings, recommendations and resolutions.
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