Lead Data Engineer
USD 36K-38K (estimate) Senior-level Full Time
Tasks
- Analyze data for business insights
- Build scalable maintainable data pipelines
- Define data governance and data quality
- Deliver end-to-end data solutions
- Design data architecture
- Design data lake solutions
- Develop operational and analytical applications
- Establish source control and CI CD practices
- Evaluate build versus buy decisions
- Implement and maintain data solutions
- Improve data pipeline and ETL efficiency
- Lead infrastructure project planning and delivery
- Lead integrated business and enterprise solutions
- Mentor software development lifecycle practices
- Resolve production incidents with root cause analysis
- Translate business needs to technical requirements
Perks/Benefits
- N/A
Skills/Tech-stack
Agile | Apache Spark | Automated testing | CI/CD | Cloud Data | Cloud Data Engineering | Cloud platform | Continuous Deployment | Continuous integration | Data Engineering | Data Governance | Data Lake | Data Modeling | Data Quality | Data Vault | ETL | GCP | Google Cloud | Google Cloud Platform | JavaScript | Kanban | Load Balancing | Looker | Networking | Object-Oriented | Object-oriented programming | Observability | Power BI | Private Cloud | Python | SDLC | SQL | Scripting | Security groups | Snowflake Schema | Star Schema | Virtual Private Cloud
Education
N/A
Roles
Data Engineer | Engineer | Lead | Lead Data | Lead Data Engineer
Regions
Countries
States
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