Position: Data Engineer/Scientist
Company: Akvelon
Category: Data Engineer
Experience required: 3y
English level: upper

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.
Akvelon invites you to join our development team.
We are interested in roles that are closer to Data Engineering than Data Science, but there are overlaps.
Data & ML Engineering Requirements:

Azure Infrastructure – Experience managing Azure Virtual Network, ExpressRoute, DNS, Private Endpoints and PrivateLinks, Traffic Manager / FrontDoor, NSGs, Monitoring and Alerts for Infrastructure issues, Automating Infrastructure deployment and management, Managing Azure Kubernetes and/or Azure Containers

2. Data Engineering –

Build and deliver applications on Spark with Synapse (Python /Scala)

Build and Manage CI/CD using Azure DevOps, EV2

Build Datamarts using AzureDatalake, Azure Synapse. Build and consumed datasets in Azure Kusto

Build and Manage Python dataintegration hosted on AzureML

Deliver analytics on PowerBI

Understand Data science model hosting and deployment patterns on Azure Kubernetes / Azure Containers

Ideally also need to have some of this experience:

Secure Azure Infrastructure – Experience managing Azure Virtual Network, ExpressRoute, DNS, Private Endpoints and PrivateLinks, Traffic Manager / FrontDoor, NSGs, Monitoring and Alerts for Infrastructure issues, Automating Infrastructure deployment and management, Managing Azure Kubernetes and/or Azure Containers

NOTE: Azure, Kubernetes, and DevOps requirements are must-haves.

Responsibilities:
working with automation on deployment, security, compliance, regional failover, load balancing and so on and forth.

Working conditions:

🔸Paid vacation, sick leave (without sickness list);
🔸 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);
🔸 Employee support program (Discount, Care, Heals, Legal compensation);
🔸 Paid external training, conferences, and professional certification that meets company’s business goals;
🔸 Internal workshops & seminars;
🔸 Corporate library (Paper/E-books) and internal English classes.