Senior Data Engineer
Tasks
- Build batch and near real time data processing pipelines
- Collaborate with data scientists for advanced analytics and machine learning
- Create reports connecting product and bookings data
- Develop maintain and optimize data models queries and reporting frameworks
- Ensure secure data handling follow SDLC best practices
- Implement analytics and reporting data solutions
- Implement data quality checks monitoring and documentation
- Translate data requirements into scalable solutions
Perks/Benefits
- Bonus program
- Community involvement support
- Family-friendly benefits
- Flexible work hours
- Hybrid work
- Medical, dental, and vision coverage
- Paid parental leave
- Paid time off
- Pension and retirement plans
Skills/Tech-stack
AWS | Apache Spark | Azure | Cloud platform | Data Modeling | Data Monitoring | Data Quality | Data Warehousing | DataOps | Databricks | Docker | GenAI | Google Cloud | Google Cloud Platform | Java | LLM | ML pipelines | Machine Learning | Near-real-time | Near-real-time Processing | Python | Real-time Processing | SQL | Scala | Streaming Data | Time processing
Education
N/A
Roles
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