AVP, Data Engineer

6 months ago

Singapur, Singapore DBS Bank Full time

Business Function

Group Technology and Operations (T&O) enables and empowers the bank with an efficient, nimble and resilient infrastructure through a strategic focus on productivity, quality & control, technology, people capability and innovation. In Group T&O, we managethe majority ofthe Bank's operational processes and inspire to delight our business partners through our multiple banking delivery channels.

Responsibilities

Provide expert solutions in field of Big Data and in Data Platform To work closely with the business and technology teams to ensure the overall solution achieves the business objectives. Work with business stakeholders in requirement prioritization and rationalization Ensuring good quality and performance of product features Experimentation to assess new solution paths of enabling data access in various environments. Collaborative work with remote teams.

Requirements

Bachelor’s degree in software engineering or computer Science. 8-12 years of proven software development experience with Bigdata full stack engineering. Collaborate with cross-functional teams to define, design, and ship new features. Work with Architects to walk through the Use cases for better solutions, internal and external product teams in finalizing solution to meet the requirements. Implement core practice of Agile, leveraging cloud native architecture pattern using Test Driven Development (TDD), continuous integration/continuous delivery, in an on-premises or public-cloud environment, where everything is automated. Maintain technical awareness at a level where alternatives can be analysed, modelled, classified according to technical feasibility and non-functional characteristics. Responsible for organizing product demos, training and target operating model. Experience in problem solving and root-cause analysis on any errors during the process of Software Development Life Cycle (SDLC) implementation. Solid hands-on experience in data platform and framework with Spring, Pyspark, etc

Tech stack: Big Data tools, Hadoop, Hive and its related cloud functionalities, Python, Pyspark

Apply Now​

We offer a competitive salary and benefits package and the professional advantages of a dynamic environment that supports your development and recognises your achievements.

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