Data Lead Software Engineer – Python, Pyspark and AWS
USD 177K-186K (estimate) Senior-level Full Time
Tasks
- Assess architectural designs for existing systems
- Automate recurring remediation tasks
- Build AWS based data workflows
- Design batch and streaming data pipelines
- Develop secure production code
- Drive AI-assisted engineering practices
- Establish automated testing standards
- Evaluate vendor and startup solutions
- Execute software design and development
- Improve code quality and delivery speed
- Review and debug code
- Support incident root cause analysis
- Troubleshoot production issues
Perks/Benefits
- N/A
Skills/Tech-stack
AWS Glue | AWS Lambda | AWS Step Functions | Agile | Amazon S3 | Apache Airflow | Apache Spark | Automated testing | CI/CD | Data Migration | Data Modeling | Data Warehousing | Databricks | Distributed Systems | Driven systems | Event Driven | Event Driven Systems | Git | Incident Management | Jenkins | Maven | NoSQL | Object-Oriented | Object-oriented programming | Peer review | PySpark | Python | Real Time | Real-time Data | Redshift | SQL | Secure Coding | Snowflake | Step Functions
Education
N/A
Roles
Engineer | Lead | Lead Software Engineer | Software Engineer
Regions
Countries
States
Cities
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