| Job Position | Company | Posted | Location | Salary | Tags |
|---|---|---|---|---|---|
Crypto.com | Hong Kong, Hong Kong | $98k - $99k | |||
WOO | Taipei, Taiwan | $87k - $87k | |||
BitGo | Palo Alto, CA, United States | $175k - $225k | |||
OKX | Hong Kong, Hong Kong | $27k - $45k | |||
| Learn job-ready web3 skills on your schedule with 1-on-1 support & get a job, or your money back. | | by Metana Bootcamp Info | |||
Foundry | New York, NY, United States | $105k - $190k | |||
Foundry | New York, NY, United States | $105k - $190k | |||
Ripple | Dublin, Ireland | $90k - $145k | |||
Ripple | Lausanne, Switzerland | $90k - $100k | |||
Bitso | Latin America | $106k - $165k | |||
Infura | Canada | $100k - $243k | |||
MoonPay | Multiple locations | $90k - $100k | |||
Proxify | Remote | $80k | |||
Heretic | San Francisco, CA, United States | $87k - $87k | |||
Clearmatics | London, United Kingdom | $81k - $100k | |||
Consensys | Remote | $100k - $243k |
Python Data Engineer (Finance Digital Transformation)
Requirements
- Python - Must be adept at scripting in Python
- SQL - Techniques for querying, transformation, and performance optimisation
- Apache Airflow - Experience working with DAGs in Airflow or a similar tool.
- GitHub - Experience with version control, branching, and collaboration on GitHub.
- Collaboration - Ability to work with stakeholders to translate business requirements into technical solutions.
- Communication - Spoken english
- Familiarity with Docker, Kubernetes, AWS/cloud platforms, and unit testing
- Bonus Experience: Elixir, Cloudera Data Warehouse, AWS Athena/Tableau
Responsibilities
- Design and refactor Directed Acyclic Graphs (DAGs) with Pythona and Apache Airflow to enhance data for financial reporting requirements.
- Maintain internal tooling used for managing sensitive company data.
- Work closely with Data Science, Data Warehouse, Exchange, Backend, and Finance teams to align on data requirements and deliverables.
- Maintain clear and comprehensive documentation of processes to facilitate smooth team collaboration and hand-offs.
Is Kubernetes high demand?
Yes, Kubernetes is currently in high demand in the technology industry
Kubernetes is an open-source container orchestration platform that is widely used for deploying, scaling, and managing containerized applications
It provides a standardized way to manage and automate the deployment of containerized applications across multiple hosts and provides benefits such as reliability, scalability, and flexibility
As more and more organizations move towards containerized architectures, Kubernetes has become a critical component of their infrastructure
Kubernetes is used by companies of all sizes, from startups to large enterprises, and across various industries, including finance, healthcare, and e-commerce
According to various job market and salary surveys, Kubernetes-related skills are in high demand, and job positions related to Kubernetes are growing at a rapid pace
In fact, Kubernetes is often listed as one of the top skills that are in high demand by technology companies
Overall, Kubernetes is a highly sought-after skill in the technology industry, and it's likely to remain in high demand in the foreseeable future as more and more organizations adopt containerization and cloud-native architectures.