Job Description

Description About MBRDI Mercedes-Benz Research & Development India Headquartered in Bengaluru was founded in 1996 as a captive unit to support Daimler's research, IT and product development activities. We focus on topics ranging from computer-aided

Description About MBRDI Mercedes-Benz Research & Development India Headquartered in Bengaluru was founded in 1996 as a captive unit to support Daimler's research, IT and product development activities. We focus on topics ranging from computer-aided design and simulations (CAD, CAE) for powertrain, chassis and exteriors to embedded systems, telematics and developing various IT applications and tools. The satellite office in Pune specializes in interior component designs and IT engineering. It is now one of the largest global R&D centers outside Germany, employing more than 3000 + skilled engineers. It aims to partner closely with suppliers in India for its activities in product development and IT services. 'We are an equal opportunity employer and value diversity at our company'. Keywords: Big Data, Azure, Distributed computing, Data Engineering, Data pipeline Description: You will be responsible to develop big data solutions and data pipeline for automotive field data. Responsibilities : Develop cloud-based big data engineering and analytics solutions in the conventional and electric powertrain space in Automotive domain Provide results in the form of dashboards using visualization package like Tableau Collaborating with Global stakeholders Skills/Qualifications/Experience : Bachler's or Master's degree in Computer Science Experience of working with Time series measurement data Programming experience in Pyspark, Scala or Python and SQL. Object oriented programming experience is a must Experience of working in Azure Databricks environment Experience in Data Visualization Experience of parallel and distributed computing while handling big data having working knowledge of distributed databases Demonstrated analytical and problem-solving skills, particularly those that apply to a big data environment Understanding of Automobile Components functioning will be an added advantage Experience of Working in a geographically distributed cross-cultural teams Experience of Working in agile environment Proficient in a source code control system such as GIT Soft Skills : Flexible, Self-driven, Team Player, Excellent written and verbal communication skills Additional Skills: Hands-on experience in Azure stack (Azure Data Lake, Azure Data Factory, Azure Databricks) Capability to build data analytics solutions to required performance & scale Good Understanding of Modern Data Warehouse/Lambda Architecture, Data warehousing concepts Qualifications BE / ME/ M.Tech / M.S