Machine Learning Engineer, Robot Learning
仕事内容
Design and scale data platforms to power analytics, ML, and product features.
Develop near-real-time and batch ETL/ELT pipelines using Kafka, Flink, and Spark with strong SLAs.
Model data architectures (Dimensional and Data Vault), implementing governance, lineage, and quality checks.
Operate cloud data warehouses (Snowflake, BigQuery, Redshift) and lakehouse patterns (Iceberg, Delta, Hudi).
Enable self-service analytics with dbt, catalogs, and metrics layers; partner with DS/BI stakeholders.
Prioritize reliability, cost efficiency, and thorough documentation.
Develop near-real-time and batch ETL/ELT pipelines using Kafka, Flink, and Spark with strong SLAs.
Model data architectures (Dimensional and Data Vault), implementing governance, lineage, and quality checks.
Operate cloud data warehouses (Snowflake, BigQuery, Redshift) and lakehouse patterns (Iceberg, Delta, Hudi).
Enable self-service analytics with dbt, catalogs, and metrics layers; partner with DS/BI stakeholders.
Prioritize reliability, cost efficiency, and thorough documentation.
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