Lead product development in the marketing domain, focusing on software and data to enhance customer value and support the growth of the engineering organization.
About this role
The Data Engineer sits in the Technology Division and works across businesses on shared data infrastructure for the printing service and other operations. It bridges data engineering with analysts and data scientists, with delivery of pipelines and improved data-team productivity as the focus.
Responsibilities include extending the existing BigQuery DWH and pipelines; designing, building, and operating new DWH and ELT pipelines; expanding available data; improving real-time delivery and web-event collection; automating operations; documenting systems; and advancing data-platform strategy. The named stack includes Python, GCP, AWS, BigQuery, Dagster, dbt, Git/GitHub, SQL, Redash, and Looker Studio.
Required experience covers cloud-based data-platform construction and operation, use of a DWH such as BigQuery, Redshift, Snowflake, or Databricks, and building and operating DWH pipelines. Candidates also need database and SQL knowledge, logical problem solving, clear explanation of technical topics, documentation skills, and a customer- and ROI-oriented approach.
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