Specialist Engineer- Data
Austin, TX, United States
R
USD 145K-220K (estimate) Senior-level Full Time
Tasks
- Build BI datasets for Power BI and Looker
- Build and integrate vector database pipelines
- Collaborate with data scientists on feature engineering and pipelines
- Create and maintain technical documentation
- Deploy and manage machine learning models in production
- Design build and optimize ETL and ELT data pipelines
- Develop and maintain dimensional and vault data models
- Implement data orchestration workflows
- Implement data security, governance, and RBAC
- Implement monitoring and logging for ML pipelines
- Monitor troubleshoot and optimize data warehouse query performance
- Set up CI CD for machine learning
- Write complex SQL queries and automation scripts
Perks/Benefits
- N/A
Skills/Tech-stack
AI vector search | AKS | Apache Airflow | Azure Data | Azure Data Factory | Azure Machine Learning | Azure Monitor | Azure Synapse | Azure Synapse Analytics | BigQuery | Blob Storage | CI/CD | Cloud Composer | Cloud Data | Cloud Data Fusion | Cloud Functions | Cloud Monitoring | Cosmos DB | DBT | Data Factory | Data Fusion | Data Warehousing | Databricks | Dataflow | Dimensional Modeling | Docker | ELT | ETL | Encryption | Feature Engineering | GCP Cloud | GCP Cloud Monitoring | GCP Dataflow | GCP Vertex | GCP Vertex AI | GKE | Google Cloud | Google Cloud Composer | IAM | Infrastructure as Code | Kubeflow | Kubernetes | Looker | MLflow | Machine Learning | Power BI | Pub/Sub | Python | RBAC | SQL | Snowflake | Synapse Analytics | Terraform | Vector Databases | Vector Search | Vector embeddings | Vertex AI | Vertex AI Vector Search | “as-code”
Education
N/A
Roles
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