Job Description

General Job description:

Helping business users with big data analytics & AI initiatives

Developing new products and solutions for both internal and external client facing

To be developed as the lead for data engineering or data science.

Specific :

Develop mappings and workflows to extract, transform and load data from existing enterprise systems

Develop mappings and workflows to extract, transform and load data from public websites/data sources and other unstructured data sources such as PDF/Word document

Perform the entire cycle of machine learning process (EDA, feature engineering & selection, model selection and evaluation, deployment) and get predicted results

Knowledge on knowledge graph will be advantageous

Create low-level design documents and testing scripts. Conduct unit testing and peer review of other team members

Coordinate integration/system test with SIT team and provide support on user acceptance test

Job requirements:

Solid experience of ETL technologies will be an added advantage.

Strong in database SQL and JSON (or XML)

Good at at least 2 out of these 3 domains: data engineering, data science, and data analysis

Experience in big data technologies - Hadoop, Hue, Hive, Spark etc

Experience in data preparation and cleansing process

Experience in Python in predictive modeling, and resourceful in researching new methods to solve problems.

Experience in building relevant data visualization / discovery applications

Knowledge in advanced data technologies like Kafka, H2O, ElasticSearch etc would be an added advantage

Understanding of graph database/knowledge graph technologies will

Knowledge of data security best practices

Implemented or practicing in data governance (data quality, metadata management etc) is advantageous

Ability to visualize from data acquisition process to end results

0-5 years of relevant experience

Job Types: Full-time, Permanent

Pay: RM3,000.00 - RM8,000.00 per month

Benefits:

Professional development Work from home
Work Location: In person