Lead Data Engineer
Tasks
- Coordinate staging and curated data layers for downstream consumption
- Handle incidents conduct root cause analysis and implement preventive fixes
- Identify recurring issues and drive continuous improvements
- Lead AMS support day to day operations
- Maintain operational runbooks and guide L2 L3 support teams
- Manage GCP Pub Sub topics subscriptions and DLQs
- Monitor and manage CDC pipelines and batch ingestion
- Own incident communication escalation and stakeholder updates
- Perform production deployments and coordinate testing across environments
- Provide end to end production support for data ingestion and processing pipelines
- Troubleshoot data performance and pipeline failures within SLAs
Perks/Benefits
- Company-Paid Holidays
- Employee assistance program
- Life and disability insurance
- Medical, dental, and vision coverage
- Paid time off
- Personal days
- Retirement savings plan
- Sick leave
Skills/Tech-stack
API Integration | Alerting | Apache Beam | Batch Processing | CDC | CSV | Cause analysis | Change Data Capture | Cloud SQL | Cloud platform | Curated Data Layers | DLQ | Data Capture | Data Engineering | Data Ingestion | Data Monitoring | Data Pipelines | Data layers | Dataflow | Datastream | Debezium | Deployments | Google Cloud | Google Cloud Platform | Incident Management | Java | PostgreSQL | Pub/Sub | Root Cause Analysis | Root cause | SQL | Staging
Education
N/A
Roles
Data Engineer | Engineer | Lead | Lead Data | Lead Data Engineer
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