Staff Implementations Data Engineer
Tasks
- Build data models for multiple sources
- Deploy and continuously improve data ingestion pipelines
- Develop distributed big data pipelines
- Evaluate and recommend data pipeline tools and best practices
- Monitor and maintain data pipelines
- Provide technical leadership for client integrations
- Standardize and fuse ingested data
- Support platform reliability and data controls
- Support security reviews and accreditations
Perks/Benefits
- N/A
Skills/Tech-stack
AWS | Azure | Cloud platform | Data Governance | Data Ingestion | Data Modeling | Data Security | Data pipeline | Data pipeline orchestration | Databricks | Datadog | Docker | EC2 | Git | Google Cloud | Google Cloud Platform | IAM | Kubernetes | OpenSearch | Pipeline Orchestration | Postgres | Python | REST API | S3 | SQL | Spark | Terraform
Education
N/A
Roles
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