Principal Data Engineer
Tasks
- Build production services APIs integration layers for data capabilities
- Collaborate with data engineering platform engineering SRE architecture governance product teams
- Define observability standards for pipelines and datasets
- Design build optimize troubleshoot scalable batch and streaming pipelines
- Develop production Python and SQL for maintainability observability resilience
- Handle production incidents performance bottlenecks data integrity
- Implement monitoring alerting dashboards runbooks ownership
- Improve developer experience with reusable frameworks CI CD templates libraries
- Lead complex data pipeline engineering
- Mentor engineers with technical guidance and hands on support
- Optimize and stabilize Pentaho ETL and Databricks lakehouse workloads
- Perform root cause analysis and remediation
Perks/Benefits
- Annual leave
- Audiobook access
- Dental care
- Discounts
- Flexible funds
- Flexible working
- Food vouchers
- Hackathon
- Learning budget
- Private healthcare
- Referral program
- Snacks and drinks
- Social events
- Wellbeing platform
Skills/Tech-stack
API Development | Alerting | Apache Spark | Backfill | Batch Processing | CDC | CI/CD | Cause analysis | Cluster Utilization | Code Quality | Dashboards | Databricks | Delta Lake | Distributed Systems | Idempotency | Integration | Monitoring | Observability | Orchestration | Packaging | Partitioning | Pentaho | Performance Tuning | Python | Query Optimization | Resilience Engineering | Root Cause Analysis | Root cause | Runbooks | SQL | Storage Optimization | Streaming Data | Testing
Education
N/A
Roles
Data Engineer | Engineer | Principal | Principal Data Engineer
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