Mobility is going through paradigm shifts led by technology, specially embedded software. Software will help mobility leapfrog towards autonomous, clean, smart and connected future.
With a passionate team of 6000+ people focused on mobility across the globe, KPIT specializes in embedded software, AI &
digital solutions, enabling our customers accelerate implementation of next generation mobility technologies and our employees to work with the coolest tech and the top brands in the automotive industry.
With development centers in Europe, USA, Japan, China & India – KPIT is present where the mobility ecosystem is transforming.
Big Data Engineer will be part of the feature development team responsible for extracting new features from a data repository consisting of sensor and test vehicle data.
8+ years of professional experience
Solid experience with Hadoop and it’s ecosystem (e.g. Yarn, MapReduce, HBase, Spark, Kafka, etc.) in development and implementation
Experience in loading from disparate data sets and pre-processing using Hive and Pig
Experience in writing code in languages such as Java, Scala and Python. Writing of mapreduce jobs
Track record of working on perform analysis of vast data stores and uncover insights while maintaining the security and data privacy
Knowledge in distributed processing principles and frameworks
Experienced in modelling complex big data architectures
Worked on data analytics projects involving feature extraction
You have good communication (both verbal and written) and presentation skills
Should have good problem understanding and analytical skills
Preferred to have played a role in project coordination and knowledge of project management methodologies