Job Description

What we will offer you:

A healthy, engaged and well-supported workforce are better equipped to do their best work and, more importantly, enjoy their lives inside and outside the workplace. That\'s why we are committed to providing an environment with your development and wellbeing at its center.

You can expect:

• Flexible benefits plan including virtual doctor consultation services
• Comprehensive leave benefits
• Gender Neutral Parental Leave
• Flexible working arrangements
• 25 days of annual paid leave, plus public holiday & Flexible Working Arrangement

Your key responsibilities:

• Full life-cycle of development tasks, starting from specification and design to successful implementation
• Working in the global team following Agile development practices
• Data Warehouse development and ETL design
• Build and maintain SQL procedures and ETL processes with different tools and languages
• Optimize and tune data processing and ETL workflows to ensure high performance and reliability
• Identify and resolve data quality issues and ensure data accuracy and consistency
• Perform data analysis using Tableau or similar tools to visualize and present insights to stakeholders as needed
• Assist in requirements gathering and data analytics as needed
• Estimate work effort and assist the Project Manager with task planning and LOE (level of effort) estimates
• Contribute to the system architecture

Your skills and experience:

• Min 4 years of Data Engineering with Hadoop and Hadoop ecosystem.
• Proven expedience in Python, PySpark and Object-Oriented Programming.
• Proven experience in SQL, PL/SQL and Oracle database.
• Min bachelor\'s degree in computer science, Data Science, or a related field.
• Working experience in data engineering, with expertise in Hadoop, SQL, Hive, Impala, Google Cloud, and Cloudera Data Science Workbench.
• Working Experience in GIT, Apache Maven, JIRA and TeamCity
• UNIX command/shell scripting experience
• Experience with Cloud solutions such as GCP.
• Working Experience with finance payment data sets in a corporate banking environment.
• Experience with data analytics and visualization tools such as Tableau
• Excellent problem-solving and analytical skills with the ability to translate business requirements into technical solutions.

Role is required to be performed on-site at One Raffles Quay office. Relevant vaccination requirements may apply.

How we\'ll support you:

• Flexible working to assist you balance your personal priorities
• Coaching and support from experts in your team
• A culture of continuous learning to aid progression
• A range of flexible benefits that you can tailor to suit your needs
• Training and development to help you excel in your career\\

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