Data Engineer
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The role
Translate business requirements into conceptual, logical, and physical data models and define core data concepts for commercialization.
Design, build, and maintain data warehouse and data pipeline solutions to transform raw data into analytics-ready insights.
Ensure proper handling of PII and ACL, implement a data quality framework, and maintain documentation.
Collaborate closely with data producers and data consumers to understand needs and align data solutions across the organization.
Architect scalable data models and apply data governance practices to support accurate, efficient reporting.
Proficiency in SQL and at least one language (Python, Java, or C++); experience with Google BigQuery or Snowflake is preferred, plus familiarity with Spark, Kafka, or Hadoop is a plus.
Design, build, and maintain data warehouse and data pipeline solutions to transform raw data into analytics-ready insights.
Ensure proper handling of PII and ACL, implement a data quality framework, and maintain documentation.
Collaborate closely with data producers and data consumers to understand needs and align data solutions across the organization.
Architect scalable data models and apply data governance practices to support accurate, efficient reporting.
Proficiency in SQL and at least one language (Python, Java, or C++); experience with Google BigQuery or Snowflake is preferred, plus familiarity with Spark, Kafka, or Hadoop is a plus.
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