AWS Lead Software Engineer-Python/PySpark
USD 176K-200K (estimate) Senior-level Full Time
Tasks
- Apply SDLC toolchain automation capabilities
- Automate remediation of recurring issues
- Build reliable batch and streaming data pipelines
- Design reusable data processing and data quality frameworks
- Develop data models and transformations with SQL and dbt
- Develop secure production code
- Establish validation standards secure coding peer review automated testing
- Execute software solutions design development troubleshooting
- Improve engineering practices with AI assisted development
- Lead software engineering communities of practice
- Lead vendor and architecture evaluation sessions
- Orchestrate and troubleshoot data workflows
- Provision and manage platform infrastructure with infrastructure as code
- Review debug production code
Perks/Benefits
- N/A
Skills/Tech-stack
API Gateway | AWS | AWS Lambda | Amazon API | Amazon API Gateway | Amazon CloudTrail | Amazon CloudWatch | Amazon DynamoDB | Amazon ECS | Amazon EKS | Amazon IAM | Amazon RDS | Amazon Redshift | Amazon S3 | Amazon SNS | Amazon SQS | Amazon VPC | Apache Airflow | Apache Flink | Apache Kafka | Automated testing | Batch Processing | CI/CD | Cause analysis | Code review | DBT | Data Modeling | Data Quality | Delta Lake | Distributed Systems | Docker | ETL | Google BigQuery | Hudi | Iceberg | Incident Management | Kubernetes | Performance Tuning | PySpark | Python | Root Cause Analysis | Root cause | SQL | Secure Coding | Snowflake | Spark Structured Streaming | Streaming processing | Structured Streaming | Terraform | Trino
Education
N/A
Roles
Engineer | Lead | Lead Software Engineer | Software Engineer
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