Lead Software Engineer - Python/PySpark/Databricks/AWS
Wilmington, DE, United States
USD 170K-186K (estimate) Senior-level Full Time
Tasks
- Apply software development life cycle toolchain capabilities
- Automate remediation of recurring issues
- Build and operate Databricks batch and streaming pipelines
- Deliver CI CD and infrastructure as code for Databricks and AWS
- Design Databricks lakehouse solutions
- Develop secure production code
- Drive adoption of AI assisted engineering practices
- Ensure production readiness with testing monitoring and incident response
- Execute software solutions design development technical troubleshooting
- Implement governance security controls in Databricks
- Lead communities of practice
- Lead vendor and internal evaluation sessions
- Optimize Spark Delta performance and cost
- Review debug others code
Perks/Benefits
- N/A
Skills/Tech-stack
Access Management | Agile | Alerting | Amazon S3 | Amazon Web Services | Apache Spark | Automated testing | Backfill | CDC | CI/CD | Cause analysis | Checkpointing | Contract testing | Data Quality | Databricks | Databricks Jobs | Databricks Workflows | Delta Lake | Delta Live Tables | Delta Live) | Idempotency | Idempotent Pipelines | Identity and Access Management | Identity and access | Incident Response | Infrastructure as Code | Integration Testing | Key Management | Key Management Service | Least Privilege | Monitoring | PII Classification | Peer review | PySpark | Python | Retry) | Root Cause Analysis | Root cause | SLO/SLA | Schemata Evolution | Secure Coding | Security groups | Structured Streaming | Test automation | Unit Testing | Unity Catalog | VPC | Web Services | “as-code”
Education
N/A
Roles
Engineer | Lead | Lead Software Engineer | Software Engineer
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