Position: Python Engineers with Data knowledge
Company: Akvelon
Category: Data Engineer
Experience required: 3y
English level: upper

Hi! 
We are looking for some senior engineers to come in and be able to drive initiatives. Building out a data platform team that will be developing a new platform. Instead of band-aids of the existing Infrastructure, we will build new one and move relevant processes on the new. 

🌎Akvelon is an American company with offices in Seattle, Mexico, Ukraine, Poland, the Czech Republic, and Serbia. Our company is an official vendor of Microsoft and Google. Our clients also include Amazon, Evernote, Intel, HP, Reddit, Pinterest, AT&T, T-Mobile, Starbucks, and LinkedIn.

Client has professional-caliber graphics, virtualization, and productivity solutions are finely tuned for the digital remote workforce, delivering the freedom to work when, where, and how you want.

**Project Overview:**
This project is primarily focused on staff augmentation, where our team will function as full-time employees and report directly to the Director of Engineering.
The client is building a platform that will create a self-service tooling for data analysts, data scientists, and power users of the company. To do that they need people who are not just pure data engineers writing pipelines, they need people who think how can they turn writing pipelines into a self-service that others can use without writing pipelines skills.

**Target Tech Practice:** Platform engineering

**Requirements:**
🔸 Strong proven knowledge and experience with Python in Data Management/ETL projects (understanding the concepts) / The knowledge of data and data concepts is required to make the platform to work correctly.

Nice to have:
🔸 Hands-on experience with Snowflake or equivalents
🔸 Hands-on experience with Airflow or equivalents, such as Prefect etc
🔸 Development experience with Kubernetes and Terraform
🔸 Development experience working with Amazon AWS (preferable), Microsoft Azure or any other cloud
🔸 Experience working with the database in cloud.

**Working conditions:**
Overlap with the PST time zone until 11am PST. The client does not expect that to be the norm. However, they want to set clear expectations for releases and urgent work if/when “all hands on deck” are required.

Interview requirements steps:
- tech interview
- manager interview
- client`s interview (2 meetings)

**Benefits:**
🔸 Paid vacation and Sick days
🔸 Official state holidays — 11 days considered as a public holidays
🔸 Professional growth while attending challenging projects and possibility to switch your role, master new technologies and skills with company support
🔸 Flexible working schedule: 8 hours per day, 40 hours per week. It additionally depends on the project operational hours. Work on weekends or overtimes is only upon request of the customer, is paid in addition
🔸 Personal Career Development Plan (CDP)
🔸 Corporate library (Paper/E-books) and internal English classes.