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
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
Knowledge of tools like Apache Beam, DataFlow
Hands-on experience with software testing methods, processes, and tools