Data Engineer
Data
Data Engineer
Poznań
Type of work
Undetermined
Experience
Mid
Employment Type
B2B
Operating mode
Remote
Egnyte Poland
Egnyte is the secure multi-cloud platform for content security and governance that enables organizations to better protect and collaborate on their most valuable content. Established in 2008, Egnyte has democratized cloud content security for more than 22,000 + organizations, helping customers improve data security, maintain compliance, prevent and detect ransomware threats, and boost employee productivity on any app, any cloud, anywhere. For more information, visit www.egnyte.com.
Tech stack
Python
SQL
Scala
Job description
Online interview
The opportunity
We are looking for a talented Data Engineer, who will help us to develop our Big Data Architecture. You are going to work in the Data Engineering & Analytics team which is responsible for the development of internal data architecture at Egnyte and providing this data in a suitable form to the whole company. There is a place in our team for an expert that will support us with integrating new systems, maintaining and upgrading old integrations and improving the whole architecture. We are looking for a person who has a drive to make things happen and a can-do attitude.
Your day-to-day at Egnyte:
- Build, improve and test code that moves and manipulates data coming from disparate sources, including massive log and event streams, SQL databases and online, API-based services
- Implement features that automatically test data operations for completeness, to ensure that data consumers have access to correct information
- Get hands-on with the data - analyzing and visualizing - when needed to get the job done, to find issues both in your code and the source systems that feed the data
- Wear many hats and be ready to learn new technologies. You will be a part of a small team that supports a large, data-driven organization with evolving requirements
About you:
- Knowledge of SQL and Python, especially data structures, data manipulation and exception handling
- Knowledge of Scala and tools like Apache Beam, DataFlow
- Experience interacting with or pulling data from API-based services
- Basic knowledge of Linux and server environment
- Attention to detail and strong analytical skills
- Very good communication skills in English
Bonus skills:
- Experience working with very large datasets
- Base knowledge of statistics and data analysis
- Basic knowledge of Scala
- QA background
- Hands-on experience with software testing methods, processes and tools
Egnyte is privately held and funded by top-notch investors such as Goldman Sachs, Google Ventures, Kleiner Perkins Caufield & Byers, Polaris Partners, Floodgate Fund, Northgate, CenturyLink and Seagate.
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