Lead Software Engineer - Python/PySpark/Databricks/AWS
USD 170K-195K (estimate) Senior-level Full Time
Tasks
- Apply testing data quality checks and contract testing
- Architect Databricks lakehouse solutions
- Build and operate Delta Lake solutions
- Build batch and streaming data pipelines
- Conduct technical troubleshooting
- Debug code written by others
- Define replay and backfill procedures
- Develop and review secure production code
- Drive adoption of AI assisted engineering practices
- Eliminate recurring remediation through automation
- Ensure production readiness with retries checkpointing and idempotency
- Execute software design and development
- Implement Delta Live Tables or Databricks Jobs workflows
- Implement Infrastructure as Code and version control
- Implement data governance and security controls
- Implement secure software development life cycle toolchain
- Lead communities of practice for software engineering
- Lead design and code reviews and mentor engineers
- Lead evaluation of vendor and architecture options
- Monitor systems and manage incident response
- Optimize Spark and Delta performance and cost
- Perform CI CD for Databricks and AWS
- Perform root cause analysis and SLO SLA management
- Set validation standards for correctness performance and security
Perks/Benefits
- N/A
Skills/Tech-stack
Access Management | Amazon S3 | Amazon Web Services | Apache Spark | CI/CD | Cause analysis | Contract testing | Data Quality | Databricks | Databricks Jobs | Databricks Workflows | Delta Lake | Delta Live Tables | Delta Live) | Identity and Access Management | Identity and access | Incident Response | Infrastructure as Code | Integration Testing | Key Management | Key Management Service | Monitoring | Private Cloud | PySpark | Python | Root Cause Analysis | Root cause | S3 | SLA | SLO | Secure Coding | Structured Streaming | Unit Testing | Unity Catalog | Virtual Private Cloud | Web Services | “as-code”
Education
N/A
Roles
Engineer | Lead | Lead Software Engineer | Software Engineer
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