Data Engineer
Tasks
- Administer Fivetran ingestion and optimize sync schedules
- Build and maintain ELT ETL pipelines to BigQuery
- Build and optimize RAG compatible data stores
- Build semantic layer over BigQuery
- Create data validation anomaly detection and schema contracts
- Design scalable ingestion for non Fivetran sources
- Implement PII inventory and column level security
- Implement table partitioning clustering and incremental loads
- Maintain centralized data dictionary and field definitions
- Migrate BigQuery stored procedures to dbt
- Support Looker Studio dashboards with gold tier datasets
- Translate business data requirements into engineering specs and delivery plans
Perks/Benefits
- 401k match
- Dental insurance
- Equity Compensation if Applicable
- Health insurance
- Paid Holidays
- Paid time off
- Performance bonus eligibility
- Sick leave
- Vision insurance
Skills/Tech-stack
Agile | Anomaly Detection | CCPA | Clustering | Column-Level Security | DBT | Data Dictionary | Data Governance | Data Ingestion | Data Quality | ELT | ETL | Fivetran | Git | Google BigQuery | Incremental loading | Infrastructure as Code | Jira | Looker Studio | PII | Python | RAG | Retrieval-Augmented Generation | SQL | Schema Contracts | Scrum | Semantic layer | Table Partitioning | Technical documentation | Terraform | “as-code”
Education
N/A
Roles
Regions
Countries
States
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