Senior Data Engineer for After-Sales Vehicle Documentation
Tasks
- Automate report generation and anomaly detection
- Build and operate ETL/ELT pipelines
- Document data lineage metadata and design decisions
- Enable natural language querying and AI powered insights in BI
- Facilitate stakeholder demos and collect feedback
- Implement dimensional semantic data models
- Integrate machine learning models into reporting workflows
- Monitor data quality with validation alerts and remediation
- Optimize SQL and AWS cluster configurations for performance and cost
- Productionize notebooks jobs with model lifecycle management
- Support incident management and escalate as needed
Perks/Benefits
- Accessibility accommodations
- Cafeteria
- Childcare
- Coaching
- Employee events
- Employee phone
- Flexible working hours
- Good transport links
- Health measures
- Hybrid work
- Meal allowance
- Mobility offers
- On-site doctor
- Parking
Skills/Tech-stack
AWS | Apache Spark | BI | Data Quality | Data quality monitoring | Databricks | Dimensional Modeling | ELT | ETL | Language Processing | MLflow | Machine Learning | Natural Language | Natural Language Processing | PySpark | Python | Quality monitoring | SQL | Semantic Modeling | TensorFlow
Education
Bachelor of Engineering | Bachelor of Technology | Master of Engineering | Master of Technology
Roles
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