Data Integrity Intern

Location: Budapest, Hungary

Data Integrity Intern

The Data Automation Team focuses on connecting and operating all the auto-annotation tools that generate the training data for our environment perception solutions, and organizing the results in a way that AI researchers can readily filter and use the created data. Changes in requirements, tools and methods are inevitable with new technologies researched and implemented continuously. As we maintain and use several years of recorded vehicle data, it is important to make sure database records and the files they are referencing and always up to date according to the latest requirements, older versions are deprecated, consistency and integrity of data is ensured.

Job Summary 

Adopt existing and implement new database integrity and database - filesystem consistency checks
Adopt existing and implement new issue resolution automations for fixing any inconsistencies found automatically
In case manual intervention is needed to resolve an issue, decide the best course of action, involving the relevant teams if needed
Automate the execution of checks, monitor the output of executions on a daily basis
Test resolution strategies in a test environment
Verify and support the update of relevant documentation

Key Qualifications 

Ongoing (active/passive) full-time university studies for at least one more year on engineering or IT field 
At least 20-25 working hours/week in our Budapest office  
Experience in data handling and manipulation using SQL
Experience in command line tools
Experience in Python
Intermediate-level English knowledge  
Precise, reliable, quality focused attitude
Independent and proactive attitude

Considered as a plus 

Basic Bash knowledge
Basic Linux knowledge

What We Offer  

Possibility to gain valuable work experience at the forefront of the automotive R&D sector  
Competitive student salary and long-term bonus system  
Inspiring and supportive working environment  
Teambuilding events and other benefits for students  
Flexible working hours  
Long-term job opportunity  
Possibility of an immediate start  
In-service training opportunity  
Fitness opportunity

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