Principal Data Engineer
Tasks
- Build data engineering pipelines
- Deploy and orchestrate containerized services
- Design data warehouse architectures
- Develop data transformations and testing
- Ensure data quality and governance
- Implement infrastructure-as-code
- Implement real time streaming processing
- Integrate machine learning pipelines
- Manage data catalogs and lineage
- Support model serving and AI workflows
Perks/Benefits
- N/A
Skills/Tech-stack
AWS | Airflow | Apache Flink | Avro | Azure | BentoML | BigQuery | CCPA | DBT | Dagster | Databricks | Databricks SQL | Datahub | Delta Lake | Docker | FinOps | GCP | GDPR | GitHub Actions | Great Expectations | IAM | Iceberg | Inference Server | Java | Jenkins | KSQLDB | Kafka | Kafka Connect | Kafka Streams | Kubeflow | Kubernetes | MLflow | OpenLineage | Prefect | Protobuf | Pulumi | Python | RAG | Ray Serve | SQL | Scala | Snowflake | Soda | Spark SQL | Spark Structured Streaming | Structured Streaming | Terraform | Trino | Triton | Triton Inference | Triton Inference Server | Vector Databases
Education
N/A
Roles
Data Engineer | Engineer | Principal | Principal Data Engineer
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