Lead Data Engineer
Tasks
- Apply CI CD integration code reviews and documentation
- Collaborate with Data Science, Engineering, and Product teams
- Contribute to full software development lifecycle
- Deploy and support production readiness
- Design build and operate data pipelines with Databricks
- Drive Databricks performance and cost optimization
- Ensure data quality reliability scalability operational excellence
- Implement security access controls and governance
- Implement test automation
- Maintain and support production data solutions
- Manage Databricks workspace configuration and optimization
- Manage clusters and job operations
- Own end-to-end data pipeline lifecycle
- Translate business requirements into production data pipelines
- Troubleshoot incidents and resolve production issues
Perks/Benefits
- N/A
Skills/Tech-stack
AWS | Agile | Amazon Kinesis | Amazon S3 | Apache Spark | CI/CD | Data Cleansing | Data Governance | Data Pipelines | Data Privacy | Data Security | Data Transformation | Databricks | Docker | ETL | Grafana | Infrastructure as Code | Java | Kafka | Kubernetes | Machine Learning | NoSQL | Prometheus | Python | Redis | SQL | Scrum | Terraform | Testing Automation | “as-code”
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
Roles
Data Engineer | Engineer | Lead | Lead Data | Lead Data Engineer
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