Job Description - Principal Engineer - Data Science and Engineering (MER0003764)
Principal Engineer - Data Science and Engineering Group: Mercedes-Benz Group AG
Description: As a Principal Engineer for Data Science and Engineering, you have the responsibility to develop data-centric solutions and take lead of comprehensive (sub-)projects with a direct impact on results. You will work with colleagues from a wide range of disciplines, professional backgrounds, and specializations on a daily basis.
Responsibilities: Responsible for the successful development and implementation of innovative analytics and business insights by tapping into various domain-specific data sources that are available. Addressing strategic and operational issues for enabling data engineering and data science topics within the domain by analyzing various data streams. Understand business objectives and translate them to Data Science objectives. Ensuring internal knowledge transfer between projects and stakeholders. Deriving new conceptual approaches and methods for future projects. Collaboration in interdisciplinary teams and sub-project management. Contributing to the identification and evaluation of potential applications for data-based decision and insights. Lead discussions with various function-owners and brainstorm for ideas to solve problems. Participation in data analysis from conception to model building, from data engineering to visualization. Ensuring the internal transfer of knowledge between projects and stakeholders. Contributing to the derivation of new conceptual approaches and methods for future projects. Collaboration in interdisciplinary teams. Participation in the development of individual (sub-)projects for the on-time, on-budget, and on-quality delivery of project results as well as the tracking and control of the respective project risks. Skills: Experience working with Azure cloud tech stack (Databricks, ADLS, etc.), and knowledge of multiple cloud tech stacks. Experience building models in distributed computing (preferably PySpark). Experience in Requirements engineering and (rapid) prototyping for the creation of BI/data analytics tools (Power BI/Python stack in Azure environment). Experience with development and operations of data pipelines in the cloud (Preferably Azure). Experience with distributed data/computing tools: Map/Reduce, Hadoop, Hive, Spark. Deep expertise in architecting and data pipelines in cloud using cloud-native technologies. Good experience in both ETL and ELT ingestion patterns, building and managing data pipelines. Hands-on experience working on large volumes of data (Petabyte scale) with distributed compute frameworks. Leadership Pre-requisites: Has led teams in the past with at least a size of 4-5 people with clear technical delivery responsibilities. Has demonstrated an undisputed will to succeed and has an ability to bring out the best solutions taking into account the engineering feasibility, costs, and timelines. Is purpose-driven, entrepreneurial, driven-to-win, and able to keep the customer's viewpoint in mind in coming up with effective solutions. Imbibes culture and values of the organization, is value-driven, ethical, and fair. Motivated and passionate about learning new technologies, creates a learning culture for self and others in the team. Qualifications: Bachelors/Masters/PhD in Electrical/Electronics/Computer Science/Communications or other related streams of Engineering. 10+ years in Data Science and Engineering (preferably in Automotive). Experience in working in a diverse work environment, across different work cultures and a matrix organization. International work experience. Strong written and oral communication skills (English). Other Preferred Skills: German language skills will be an added advantage.
Organization Mercedes-Benz Research and Development India Private Limited
Primary Location India-Karnataka-Bangalore
Work Locations Mercedes-Benz Research & Development India, Embassy Crest 'Embassy Crest' Plot No 5, EPIP Zone, Phase 1, 560 066
#J-18808-Ljbffr
