Principal Data Engineer - AI
USD 139K-197K (estimate) Senior-level Full Time
Tasks
- Build ETL/ELT data pipelines
- Build real-time streaming architectures
- Collaborate on data models and customer metric semantics
- Design data lake and data warehouse storage layers
- Develop API services and data ingestion frameworks
- Engineer feature context pipelines for batch and streaming
- Evaluate and adopt modern data stack tools and frameworks
- Implement data quality and governance frameworks
- Lead data architecture design and deployment
- Optimize distributed queries for low latency
Perks/Benefits
Skills/Tech-stack
Amazon Kinesis | Amazon Redshift | Apache Airflow | Apache Flink | Apache Iceberg | Apache Kafka | Apache Spark | CI/CD | Code review | Dagster | Data Engineering | Data Governance | Data Lakes | Data Quality | Data Warehouses | Databricks | Delta Lake | Distributed Computing | Document Databases | ELT | ETL | Google BigQuery | Hadoop | Infrastructure as Code | Message Brokers | NoSQL | Python | Real Time | Real-time Streaming | SQL | Snowflake | Testing | Vector Databases | Workflow Orchestration | “as-code”
Education
N/A
Roles
Data Engineer | Engineer | Principal | Principal Data Engineer
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