Staff Implementations Data Engineer
Tasks
- Continuously improve data pipelines
- Deploy data ingestion pipelines
- Design data models
- Develop data ingestion pipelines
- Evaluate new data engineering tools and best practices
- Fuse data into knowledge graph
- Integrate customer data with privacy controls
- Lead design development test deploy monitor maintain lifecycle
- Maintain data pipelines
- Monitor data pipelines
- Orchestrate data pipeline workflows
- Recommend scalable data architecture
- Serve as technical expert in client meetings
- Standardize ingested data
Perks/Benefits
- Cross-functional team collaboration
- Hybrid work flexibility
- Knowledge sharing
- UK Security Check clearance support
Skills/Tech-stack
AWS | Apache Spark | Azure | Data Governance | Data Ingestion | Data Modeling | Data Monitoring | Data Security | Data Standardization | Data pipeline | Data pipeline orchestration | Databricks | Docker | Git | Kubernetes | Machine Learning | Machine Learning Pipelines | OpenSearch | Pipeline Orchestration | Postgres | Python | REST APIs | SQL
Education
N/A
Roles
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