Principal Data Engineer, User Success
AMER - Canada - Ontario - Toronto - University Ave
CAD 123K-180K (estimate) Senior-level Full Time
Tasks
- Architect batch pipelines
- Architect streaming pipelines
- Build RAG systems
- Define data governance and standards
- Design ETL and ELT pipelines
- Design data catalogs and lineage
- Enable analytics with trusted datasets
- Ensure data quality and observability
- Implement low latency high throughput data access
- Improve behavioral data instrumentation
- Operate orchestration validation backfills and incremental processing
- Operationalize feature stores and feature engineering
- Run retrieval and evaluation pipelines
- Support AI assisted exploration
- Support self-service analytics
- Translate product questions into data signals
Perks/Benefits
- N/A
Skills/Tech-stack
AWS EMR | AWS Glue | AWS IAM | AWS Lambda | AWS Step Functions | Airflow | Amazon Athena | Amazon Redshift | Amazon S3 | Analytics engineering | DBT | Data Catalog | Data Governance | Data Lineage | Data Modeling | Data Observability | Data Quality | ELT | ETL | Embeddings | Feature Engineering | Feature Store | Fivetran | Flink | Hive | Iceberg | Kafka | LLM | LLM orchestration | Metrics Store | PySpark | Python | RAG | Retrieval-Augmented Generation | SQL | Semantic layer | Snowflake | Spark | Step Functions | Streaming Data | Vector Databases | Vector Search
Education
N/A
Roles
Data Engineer | Engineer | Principal | Principal Data Engineer
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