[Senior] Data Developer & Scientist

• Create and mainatain data pipline architecture
• Build the infrastructure required for extraction, transformation and loading of data from a wide variety of data source using SQL and GDP technologies
• Keep data separated and secure across national boudaries through multiple data center and GDP
• Build analytics tools that ultilize the data pipeline to provide actionable insight into operational efficiency and other key business performance metrics
• Undertaking data collection, preprocessing and analysis
• Apply technical language to build models to address business problems
• Identify valuable data source and automate collection process
• Analyze large amount of information to discover trends and patterns
• Build predictive models and ML algorithms
• Undertake preprocessing of structured and unstructured data
• Combine models through ensemble modeling

What You Won’t Do

• Get bored – this is not a ‘maintenance mode’ role but rather one of innovation and collaboration across functions and leaders
• Sit idle – You’ll work amongst an action-oriented bunch who consistently strive for progress and process improvement
• Feel like number – You will be the first to predict future events. Your metrics will help us make strategic decisions

• Has 3 years of experience working as an Data Developer & Scientist
• Advance SQL knowledge and experience working with RDBMS as well as working farmiliarity with variety of databases and database engine
• Experience building and optimizing data pipeline, architectures and datasets in cloud
• Build processes supporting data transformation, data structures, metadata dependency and workload management
• Experience in data mining
• Understanding of ML and operation research
• Knowledge of SQL and Python. It’s a plus if you known NodeJS or Javascript
• Experience using BI tools and data frameworks
• Good at Math skills

Why You Want to Work with Us

• Get involved from the beginning of TAPTAP’s nascent project and have access to Loyalty product data framework models
• You will have full support of data branches from Data Engineer team input to Data Analyst team output
• Have opportunity to access services on Google Cloud