Python Developer, Data Engineering, VP
Singapore, Singapore | J.P. Morgan
Functions:IT / Information Technology
Job Description:63 people have viewed this job
As a Python developer you will join the Data Engineering team (part of the Engineering and Architecture organisation in the Corporate and Investment Bank).You will be responsible for delivering solutions to our clients in CIB technology, QR and Data Analytics. We are engineering cutting edge solutions in meta-data & data to model, track and deliver Data in Place and Data in Motion solutions. Our work facilitates data modelling, lineage & transporting data at scale on Cloud technologies, capturing Models & APIs in our Model Repository and building automation and tooling to control and evolve them.As part of Engineering & Architecture we are at the forefront of defining & driving adoption of the latest technology and best practice throughout the CIB.
Your role is to work with our users, developers and DevOps teams to gather requirements, design, implement & support our platform. Your strong knowledge of Python, continuous delivery & testing will help our team meet our client’s requirements.You will work on challenging projects ranging from meta-programming, DSL & interpreter design to delivery of components to integrate with SQL / NoSQL DBs, Kafka & Spark.You will work as part of a global and diverse team, with clients across the globe.
This role requires a wide variety of strengths and capabilities, including:
BS/BA degree or equivalent experience
Expertise in application, data and infrastructure architecture disciplines
Advanced knowledge of architecture, design across all systems
Rich development experience in Python 2 & 3
Expertise in at least one popular Python framework
Experience in one or more static JVM languages such as Java, Scala or Kotlin a plus
Knowledge of computer science fundamentals such as data structures and algorithms
Familiar with TDD and / or BDD
Familiar with SQL/No-SQL databases
Working with Agile, Lean and Continuous Delivery best practice
Knowledge of software best practices like refactoring, clean code, domain driven design, encapsulation etc.
Familiarity with Docker / Kubernetes / micro-services / Spark / Kafka a plus
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