• Excellent with database or data warehouse or ETL tools (Extract Transform and Load) technique and framework

• Proficient in programming languages, Python and Spark for data engineering

• Experience using data frameworks, Hadoop platform, Spark for big data processing and Kafka

• Knowledge and skills in using Apache Hadoop, Cloudera and Azure Cloud,

• Understanding of big data and cloud architecture

• Ability to work with data scientist in advanced analytics for preparing or discovering business insights on focus the business strategies.

Qualification

• At least 1-5 years’ experience in big data technology, data engineering, data analytic application system development.

• Have an experience of unstructured data for business Intelligence or computer science would be advantage.

• Technical skill in SQL, UNIX and Shell Script, Python, R Programming, Spark, Hadoop programming.

• Soft skill in analytical, decision making, communication and presentation skill.