About MBRDI
Mercedes-Benz Research and Development India (MBRDI), headquartered in Bengaluru with a satellite office in Pune, is the largest R&D center for Mercedes-Benz Group AG outside of Germany. Our mission is to drive innovation and excellence in automotive engineering, digitalization, and sustainable mobility solutions, shaping the future of mobility.
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.
- Develop GenAI solutions using the data sources that addresses business needs
- Addressing on strategic and operational issues for enabling data engineering and data science topics within the domain by analyzing various data streams.
- Understand business objective and translate it to Data science/GenAI 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 lead teams in the past with at least a size of 4-5 people with clear technical delivery responsibilities.
- Has demonstrated undisputed will to succeed and has an ability to bring out the best solutions taking into account the engineering feasibility, costs and timeline in mind.
- Is purpose-driven, entrepreneurial, driven-to-win. Is able to keep the customer’s view point 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 to self and others in the team.