Lead Data Engineer
Tasks
- Advise clients on distributed storage and computing technologies
- Collaborate with data scientists to implement scalable models
- Collaborate with stakeholders to leverage data and improve data quality
- Create design and develop data processing pipelines
- Define project scope and ensure on time delivery
- Define strategy to incorporate data quality into daily work
- Deploy support and operate data pipelines using continuous delivery practices
- Design, develop and operate modern data architecture
- Develop data models using modeling techniques
- Implement data governance data security and data privacy
- Lead and manage data engineering projects from inception to completion
- Write clean iterative code using test driven development
Perks/Benefits
- N/A
Skills/Tech-stack
AWS | Azure | Big Data | Continuous Delivery | Data Architecture | Data Engineering | Data Governance | Data Lakes | Data Modeling | Data Pipelines | Data Privacy | Data Security | Data Streaming | Data Visualization | Data Warehousing | Database Schemas | Distributed Systems | ELT | ETL | GCP | Low Latency | NoSQL | Python | Real Time | Real-time Streaming | Relational databases | SQL | Spark | Test-Driven | Test-Driven Development
Education
N/A
Roles
Data Engineer | Engineer | Lead | Lead Data | Lead Data Engineer
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