Data Cloud Engineer

Description

Who we are:

The EDAG Group is a globally leading, independent engineering services provider that combines excellent engineering with the latest technology trends.

With a global network of some 60 branches, the EDAG Group realizes projects in the Vehicle Engineering, Electrics/Electronics and Production Solutions segments. Drawing on more than 50 years of engineering experience, EDAG's proprietary 360-degree development approach has become a hallmark of quality in the holistic development of vehicles and smart factories. The company's interdisciplinary expertise in the areas of software and digitization provides it with crucial skills to actively shape dynamic transformation processes as an innovative partner.

With an interdisciplinary team of around 8,600 experts, the EDAG Group develops unique mobility and industrial solutions for customers that include the world's leading automotive and non-automotive companies. The company is listed on the stock exchange since 2015 and generated revenues of € 796 million in 2022.

This is how you will grow:

We are currently seeking an experienced Big Data Engineer to help building up our large-scale data management system for the ADAS / Autonomous Driving team. This field allows contributions on various levels around the data pipeline and data processing, data annotation, machine learning, data ingestion, data pre-processing, integration of Deep Neural Network frameworks, efficient data search and high performance data manipulation.  

• Work with a state-of-the-art data pipeline on the development and test process of the ADAS/AD features 
• Enable efficient data (pre-)processing in our cloud infrastructure 
• Contribute to the architecture and implementation of an efficient data ingestion process to transfer and store large-scale vehicle sensor data from our Lucid Air/Gravity test vehicles efficiently into our data storage 
• Help to optimize the data storage, search and data processing based on a diverse mix of storage solutions, caching techniques and big data frameworks. 
• Contribute to the implementation of a secure distributed data access solution for data on-premise and via cloud providers to connect Lucid data with service providers and partners 
• Work with machine learning experts, testing engineers and software developers to solve challenging development problems 

Requirements

This is how you will take us forward:

• Knowledge of database systems, big data concepts and cluster computing frameworks (e.g. Spark, Hadoop, or other tools) 
• Excellence in C++, Python, Java or other related programming languages 
• Previous experience with big data applications or back-end software development 
• Experience with machine learning, data engineering, deep learning frameworks and related open-loop testing techniques 
• Strong communication skills