Role: Solution Architect/Data Engineer (Banking)

Senior Data Engineer – Someone with experience on building up data lakes/warehouses with strong development background on cloud such as Azure or AWS would be ideal.

Responsibilities:

• Write production code and develop applications/interfaces for Trading Analytics.

• Co-design the architecture for Data Platform and Data Analytics, including the development of Data Lake/Warehouse, optimization of data flows, and highly automated data cleansing.

• Test and deploy algorithms, develop applications, and interfaces for various use cases in Markets area.

• Ensure that applications are properly documented, and that the implementation is in line with internal architecture guidelines and principles.

• Provide support regarding Data Analytics platform and software.

• Automate, monitor, and improve performance of quantitative models. • Interact with stakeholders and external vendors to optimize data and software infrastructure.

• Assist Product owner with technical questions, creating reports and implementation roadmaps, technology assessment and decisions.

• Work and collaborate with stakeholders in an Agile-based approach.

Qualifications & Skills:

• Master or PhD in Information Technology, Computer Science, Engineering, or alike.

• 7+ years of work experience as a Developer/Software Architect. Experience in implementing financial software is a plus.

• Advanced knowledge of architectural design of real time Data Analytics solutions including Data Architecture, Databases, Data Lakes, Data flows, and Data transformations.

• Advanced coding skills in programming languages such as Python, Scala, and Java. Previous knowledge of C++, C#, and/or Haskell would be a plus.

• Expert knowledge of Cloud Computing regarding one of Azure, Google Cloud, or AWS.

• Knowledge of Spark, Databricks, and Kafka.

• Previous knowledge of Oracle, MS-SQL, MongoDB is a plus.

• Experience with Jira, Jenkins, Git, Docker, Kubernetes, and Dash (or similar) is a plus.

• Knowledge of object-relational mapping and object-oriented databases.

• Experience with real-time analytics, OneTick and/or KDB+ is a plus.

• Knowledge of VBA, R, Matlab, Tableau, and PowerBI is a plus.

• Knowledge of Big Data, Machine Learning, and Quantitative Finance is a plus.

• Collaborative, team player, open minded, and easy to work with.

• Proficient presentation skills and high attention to detail.

• Able to explain technical results to non-technical audiences.

If you are keen to explore the above role, please send across your updated resume to [email protected] and we can discuss to proceed further.

EA Personnel Registration Number: R1112410

Singapore Employment Agency Licence No: 11C3373

Responsibilities

Design and development of end-to-end product testing plan which includes functional, integration & performance testing.
Execute manual and automated test cases and report results.
Coordination with the development team(s) on the test automation strategy.
Roll out QA automation capabilities within teams by working with the platform, development, product QA and product management to align with application modules and user cases.
Drive innovation and streamline the overall QA process.
Research new tools, technologies, and testing processes to improve the overall QA process.
Implement new testing methodologies where applicable.
Develop standards and procedures to determine product quality and release readiness.
Ensure test cases and plans are documented.
Ensure all test progress and results are documented.
Ability to work as part of a team.
Responsible for managing the scrum process with the coordination of the scrum team in Agile methodology.
Arrange daily stand-up meetings, and facilitate/schedule sprint meetings.
Drive release planning, monitor change in the product development scope, and ensure development activities are aligned with the product priorities.
Manage QA Infrastructure including virtual machines and environments.

Required Experience

Bachelor’s degree in software engineering or computer science, or equivalent experience.
4+ years of experience in software quality assurance.
Knowledge of various QA methodologies.
Experience in .Net, Microsoft Team Foundation Server(TFS), Microsoft Test Manager(MTM), and Microsoft Projects. C# coding skills would be an added plus.
Experience in Visual Studio enterprise and source code management using Git and TFS.
Experience in automation testing and tools/frameworks such as Selenium, Appium, etc.
Experience in testing mobile applications (Xamarin Android & iOS).
Experience in testing desktop applications on Windows & MacOS platforms.
Experience in Non-functional testing viz integration & performance testing; experience with relevant tools like JMeter/JProfiler/JQuery etc. would be an added plus.
Knowledge of Agile development processes, best practices & scrum-relevant frameworks like Jira, Kanban, etc.
Excellent organizational skills and attention to detail.
Excellent written and verbal communication skills.

2. SKILLS
GitPerformance TestingAutomation Testing.NETSoftware Quality AssuranceScrumSoftware EngineeringAgileTest CasesTest AutomationJIRAAttention to DetailSoftware TestingWindowsMobile ApplicationsSeleniumC#AppiumAgile Development