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 Job Description:
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, Elastic Search 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 Type: Full-time
Pay: Rp3,000.00 - Rp8,000.00 per month