Lead Software Engineer - Data Engineer
USD 170K-185K (estimate) Senior-level Full Time
Tasks
- Automate remediation of recurring issues
- Build Spark based ETL ELT pipelines
- Design and develop data engineering solutions
- Develop and debug production Python PySpark code
- Ensure data pipeline operational stability
- Evaluate vendor and startup architectures
- Implement secure coding and peer review
- Lead proof and adoption of AI assisted engineering practices
- Maintain and optimize lakehouse tables and metadata
- Optimize Spark SQL queries and execution plans
Perks/Benefits
- Backup childcare
- Financial coaching
- Health care coverage
- Mental health support
- On-site health and wellness centers
- Retirement savings plan
- Tuition reimbursement
Skills/Tech-stack
AWS | AWS Glue | AWS Glue Data Catalog | AWS S3 | Apache Iceberg | Apache Kafka | Apache Spark | Automated testing | CI/CD | Cause analysis | Compaction | Continuous Delivery | Data Catalog | Databricks | ELT | EMR | ETL | Glue Data Catalog | Iceberg | Incident Troubleshooting | Java | Kafka | Metadata Management | PySpark | Python | Root Cause Analysis | Root cause | SQL | Schema evolution | Small File Mitigation | Snapshot Retention | Spark SQL | Spark Structured Streaming | Streaming ETL | Structured Streaming | Table Partitioning | Test strategy
Education
N/A
Roles
Data Engineer | Engineer | Lead | Lead Software Engineer | Software Engineer
Regions
Countries
States
Cities
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