Design, build and manage people data pipelines in Databricks
Develop canonical datasets for people and product metrics
Collaborate with Data Platform, Data Science, People Analytics, and Compensation
Implement robust, fault-tolerant data ingestion and processing
Join data architecture decisions as the primary data engineering expert
Ensure data security, integrity and compliance

🎯 Requirements

3+ years data engineering; 8+ years software engineering
Proficiency in Python, Scala, or Java
Databricks and Snowflake data warehousing
ETL schedulers: Fivetran, Airflow, Dagster, Prefect
Distributed processing: Spark, Hadoop, Flink; storage: HDFS, S3
Strong data architecture and engineering judgment

🎁 Benefits

Equal opportunity employer; non-discrimination
Reasonable accommodations for applicants
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