Senior Python Backend Engineer

6 Minutes ago • 5 Years + • Backend Development

Job Summary

Job Description

We are looking for a Python Developer to join a Global bank. The role involves providing high-quality, sustainable solutions iteratively, developing solutions adhering to industry standards, continuously improving quality and performance, collaborating closely within an agile team and global agile organization, and taking end-to-end application ownership.

Must have:

Provide high-quality, sustainable solutions iteratively
Develop solutions adhering to industry standards and delivering business value
Continuously improve quality and performance
Collaborate closely within an agile team and global agile organization
Take end-to-end application ownership
5+ years of relevant working experience
Advanced programming experience in Python and its libraries
Experience with data workflows, ingestion, transformation, and integration patterns
Knowledge of security, authentication, authorization, Unix, and bash scripting
Experience with cloud technologies, Kubernetes, DevOps, and CI/CD
Proficiency with document, relational, and analytical databases

Good to have:

Knowledge of financial products and services, or banking domain experience
Ability to work independently

15 skills required

15 skills required for this role

Add these skills to join the top 1% applicants for this job

game-texts

agile-development

gitlab

unix

ansible

terraform

elasticsearch

fastapi

jupyter-notebook

numpy

pandas

ci-cd

kubernetes

python

bash

Job Details

Project description

We are looking for a Python Developer to join Global bank.

Responsibilities

Provide high-quality, sustainable solutions iteratively
Develop solutions that adhere to industry standards and deliver business value
Continuously improve quality and performance
Collaborate closely within an agile team and a global agile organization
Take end-to-end application ownership

Skills

Must have

5+ years of relevant working experience
Advanced programming experience in the following:
Python and libraries such as: pandas, numpy, poetry, jupyter notebook, fastapi, asyncio, prefect
data workflows, ingestion and transformation of data, indexing (e.g. elasticsearch), synchronous and asynchronous integration patterns (e.g REST, file transfer, kafka, pub/sub)
security, TLS/SSL, vault, authentication and authorization, unix, bash scripting
cloud, kubernetes, kustomize, ansible, terraform, devops, gitops, ci/cd using GitLab pipelines
document, relational and analytical databases