Databricks Data Engineer - Manager - Consulting - Miami
Tasks
- Communicate project progress to technical and non-technical stakeholders
- Create documentation and reporting for clients
- Design build and operate scalable data architecture
- Develop and operate end to end data pipelines
- Develop data models
- Engage with clients and lead working sessions
- Ensure data quality, integrity, and security
- Identify opportunities for additional services
- Identify project risks and define mitigation strategies
- Implement data governance best practices
- Implement resource plans and manage budgets
- Ingest, transform, and store data
- Lead technical discussions and make architectural decisions
- Lead workstream delivery and ensure quality
- Manage client relationships and expectations
- Manage project scope and deliver on timelines
- Mentor and manage a team of data engineers
- Translate business requirements into technical requirements
Perks/Benefits
Skills/Tech-stack
AWS | Azure | Change Management | Cloud Computing | Cloud Data | Cloud Data Engineering | Data Architecture | Data Engineering | Data Governance | Data Ingestion | Data Modeling | Data Security | Data Storage | Data Transformation | Data pipeline | Databricks | ETL | GCP | Machine Learning | Project Management | Python | Real Time | Real-time analytics | Risk Management | SQL | Scala | Spark | Stakeholder management | Streaming Data
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
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