Company
Automotive
SeniorDataEngineerforAfter-SalesVehicleDocumentation
Neural analysis suggests this role is
optimal for Senior candidates.
“Senior Data Engineer for After-Sales Vehicle Documentation. Skills: Data Engineering, Data Modeling, Machine Learning, AI Integration. Translate business metrics. Design ETL/ELT pipelines”
Industry & Context.
Anomaly detection; Troubleshooting
What They're Looking For.
Must Have
5+ years experience, Data Engineering skills, Data Modeling skills, Python skills, Machine Learning skills, Databricks/Spark ETL/ELT, Dimensional/semantic models, Data quality monitoring, AI/ML model integration, SQL optimization, Cluster configuration optimization, AWS optimization, Security compliance, QMS expectations, Data lineage documentation, Metadata documentation, Design decisions documentation, Data/metadata modeling, Optimized queries, DataBricks-Notebooks, Report automation, Anomaly detection automation, Incident management awareness, Agile/Scrum development, B.E. Tech or M.E/M.Tech
Nice to Have
Knowledge of Tensor Flow, Knowledge of ML Flow, Experience integrating AI tools, Knowledge of Mercedes-Benz portfolio, Automotive/manufacturing industry experience, Awareness of QMS standards, Awareness of Norms, Awareness of DBL standards, Awareness of Tools, German language
What You'll Do.
Translate business metrics
Design ETL/ELT pipelines
Build ETL/ELT pipelines
Operate ETL/ELT pipelines
Implement dimensional models
Implement semantic models
Implement data quality monitoring
Integrate AI/ML models
Productionize notebooks
Manage model lifecycle
Enable natural-language querying
Automate report generation
Automate anomaly detection
Optimize cluster configurations
Partner with IT Engineering
Uphold QMS expectations
Document data lineage
Document design decisions
Create optimized queries
Create optimized reports
Create DataBricks-Notebooks
Support incident management
How You'll Work.
Team & Collaboration
Partner with Product; Partner with IT Engineering; Technical discussions
Communication Scope
Assertiveness; Technical discussions
Process & Methodology
Agile, Scrum
Full Job Description
Position: Senior Data Engineer for After-Sales Vehicle Documentation Function: Vehicle Documentation After Sales Location: Bangalore We at Mercedes-Benz India R&D are at a mission to contribute to MBAG by building the most desirable vehicles by utilising various digital methods. Ours is a very purpose driven and enthusiastic organization that provides the flexibility and a very progressive environment. What is GCSP? GCSP is the bridge between RD and retailers that defines and ensures the wellness of every vehicle ever produced until its entire lifecycle and until it becomes a classic. GCSP affects our retailers & workshops directly and ensures customer satisfaction throughout their vehicle use experience. For this every component of every vehicle needs to be rightly understood, to define the best ways it can be assessed in the workshop environment for service and maintenance. Technical understanding of entire vehicle systems in relation to the way it was designed and the environment it will be manufactured, assembled, sold and maintained is very important. Role Description We are looking for Data Engineer with strong Data Engineering, Modeling, Python and Machine Learning, skills to build and support data and AI solutions for business reporting and analytics. The role involves developing data pipelines, integrating AI/ML models into BI reports, and automating insights using AI tools. You will work with Databricks, Spark, SQL, and AWS to process data and enable AI-powered analytics and natural language queries in reporting tools. Principal Accountability Translate business metrics into clear data requirements and product backlog items; maintain a product mindset. · Design, build, and operate ETL/ELT pipelines on Databricks/Spark; implement dimensional/semantic models for fast access. · Implement data quality monitoring (validation checks, alerts, automated remediation) to ensure high data integrity. · Integrate AI/ML models into reporting
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