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Common mid-level Data Engineer role with 5+ years and moderate employer brand drives medium competition.
Requires Snowflake/Databricks, dbt, and data modernization experience making fit moderately industry-transferable.
Explicit 5+ years plus mandatory Snowflake/Databricks+dbt and delivery experience increases filter strictness.
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Develop reusable accelerators and frameworks by generalizing proven engagement code for data modernization deliveries.
Create validation harnesses and author playbook content to support delivery teams in asset adoption.
Assist delivery pods in onboarding and effectively utilizing these reusable assets.
Minimum 5+ years hands-on experience with Snowflake or Databricks plus dbt.
Experience in data platform modernization programs including migration planning, data validation, and cutover execution.
Ability to generalize client-specific code into reusable frameworks; Python tooling and CI/CD knowledge is a plus.
MarTech domain exposure is preferred.
Experienced in accelerator-driven delivery within legacy-to-cloud data modernization environments.
Skilled at packaging technical solutions into reusable, scalable assets supporting multiple delivery teams.
Familiarity with AI-enabled delivery and parallel run strategies during data migration initiatives.