Senior Data Platform Engineer
Tasks
- Architect data warehouse lakehouse data platform
- Build low latency ETL ELT pipelines
- Design CDC based ingestion and incremental processing
- Design real time enterprise reporting and analytics warehouse
- Design semantic layers and consumption models
- Enable self service trusted data consumption
- Implement data governance and classification
- Implement data quality testing monitoring observability
- Lead cross functional data requirements and priorities
- Modernize ETL driven warehouse processes
- Provide technical leadership and mentorship on data architecture governance
Perks/Benefits
- 401k employer matching
- Childcare reimbursement
- Company events
- Company-paid parking
- Fertility treatment coverage
- Free Energy Drinks
- Free coffee
- Free snacks
- Group workouts
- MTS Pass
- Medical, dental & vision coverage
- Paid Holidays
- Paid time off
- Work-life balance
Skills/Tech-stack
Analytics | CDC | Data Classification | Data Governance | Data Lake | Data Reconciliation | Data Warehouse | Data Warehousing | Data platform | Data platform engineering | Dimensional Modeling | ELT | ETL | Indexing | Lakehouse | Machine Learning | Partitioning | Performance Tuning | Platform Engineering | Python | Query Optimization | Real Time | Real-time Processing | SQL | Snowflake Schema | Star Schema | Time processing
Education
N/A
Regions
Countries
States
Cities
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