Data Scientist

Singtel, Asia’s leading communications technology group, provides an extensive range of telecommunications and digital services to millions of consumers and businesses across Asia, Australia, Africa and the USA. With over 140 years of innovation behind us, we continue to push boundaries in our networks and services, to enrich lives and transform businesses.

Our core values – Customer Focus, Challenger Spirit, Teamwork, Integrity, and Personal Excellence – shape the way we work. We are passionate about making a difference and have an open and inclusive culture where everyone is empowered to do their best. Our diverse business means you will enjoy unique opportunities and rewarding experiences to learn and grow your career in a dynamic industry.

Join us and experience what it’s like to be with an Employer of Choice*. Together, let’s create a brighter digital future for all. *Awarded at the HR Fest Awards 2020

Responsibilities

• Develop data flow, data transformation from data resource system into Big Data platform (Hadoop)
• Support continuous discovery, data transformation and refactoring towards algorithm build, focused demos and refinement
• Implement data processing application for data cleansing, mapping, transformation, logging
• Develop Data Integration workflows and load processes for batch and streaming
• Design, implement proof-of-concept solutions, create and deploy business intelligence using BI tool.
• Perform data analysis with the large volume of data for reporting and insights
• Work on Apache Airflow data pipeline and Apache NiFi Data flow management tool.
• Collaborate with different stakeholders from business, technical, project management and operation to design and implement the solution.
• Being a team play to work with different team members and co-operate with other cross functional teams.
• Ability to lead troubleshooting efforts for complex design and eliminate application issue.
• Contribute to and help define team best practices around report development, testing, access management, and dashboard refresh scheduling.
• Ensure best practices, frameworks and re-useable components are employed in the development project
• Understand Information Security standards, methodologies and practices.
• Trouble-shoot technical problems faced by the project and operation team.
• Conduct PoC (Proof of Concept) for research and development, enhancement on data quality.
• Involved in Data modelling and APIs projects, exploring data with Data Science Notebook.

Ideal Candidate Should have

• Bachelor degree in Computer Science, Math, Data Analytics or related field with at least 2 years of hands-on development experience
• Hands-on experience in Programming language including Java, Python, SQL, prefer to have experience in Big Data application and Linux shell scripting
• Experience in ETL, Big Data Management, Metadata Management and Data Cataloguing.
• Experience in data visualisation including effective communication, appropriate chart types, and best practices.
• Knowledge of Tableau suite or other visualisation/self-service BI tool to create thoughtful visualisation & visual analytics.
• Knowledge in Big Data Platform such as Hadoop, Cloudera, Hortonworks, etc
• Experience in Open Source like Apache Airflow, Apache NiFi, Zeppelin Notebook for Data Exploratory Analysis, etc
• Basic knowledge in Microsoft software e.g. Excel, Word and Power Points.
• Comfortable to work with technical and non-technical staff to explain concept and algorithms

We believe in the strength of a vibrant, diverse and inclusive workforce where backgrounds, perspectives and life experiences of our people help us innovate and create strong connections with our customers. We strive to ensure all our people practices are non-discriminatory and provide a fair, performance-based work culture that is diverse, inclusive and collaborative.