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Data Engineer, AI & Analytics

1 week ago
Peru
Full-time
Mid Level
Data Engineer
Software Development
CI/CD Content Marketing dbt Email Marketing GCP Git Google Ads Influencer Marketing LinkedIn Ads Python SEO Shopify Snowflake Social Media Marketing SQL TikTok
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Power Digital Marketing

Power Digital Marketing

Power Digital Marketing is a full-service digital marketing agency that specializes in creating innovative, data-driven marketing strategies to enhance brand presence and drive measurable growth across various service sectors.

Media
251-1K
Founded 2012
View All Jobs 84

Description

  • Design, build, and maintain ingestion pipelines, data models, data marts, and serving layers.
  • Develop resilient integrations that handle API changes, rate limits, deprecated fields, and retroactive conversion restatements.
  • Unify marketing and customer data across Meta, Google, TikTok, Amazon, LinkedIn, Microsoft, Shopify, Klaviyo, GA4, and client CRMs.
  • Build client-specific models and marts while extending, rather than duplicating, the shared data foundation.
  • Create semantic layers and metric definitions that enable consistent AI-generated SQL results.
  • Use AI-agentic coding workflows to accelerate development and document reusable team patterns.
  • Collaborate with product, engineering, AI, client service, BI, tagging, tracking, and data operations teams.
  • Monitor data quality, troubleshoot pipeline issues, and optimize warehouse cost and performance.
  • Launch production data assets and evaluate whether new modeling logic belongs in shared or client-specific layers.

Requirements

  • 3+ years of data or analytics engineering experience, including 1+ year owning a meaningful dbt project in production.
  • Advanced Python and SQL skills focused on production-grade pipelines and models.
  • Deep expertise with dbt, including incremental strategies, Jinja, macros, packages, tests, snapshots, freshness, exposures, DAGs, and materializations.
  • Strong Snowflake and cloud data stack experience.
  • Experience designing data models in multi-tenant environments.
  • Working knowledge of marketing and advertising data, including UTMs, attribution windows, and conversion discrepancies.
  • Experience owning end-to-end data lifecycles from ingestion through serving for BI and AI use cases.
  • Familiarity with GCP, infrastructure-as-code, Git, CI/CD, and automated testing.
  • Practical experience using AI development tools such as Cursor, Claude Code, or GitHub Copilot.
  • Experience building AI-ready data models and semantic layers.
  • Advanced spoken and written English proficiency.
  • Preferred: agency, consultancy, or services experience; measurement, incrementality, media mix modeling, attribution, server-side tagging, retail, or marketplace data experience.

Interested in this position?

Apply directly on the company website

Apply Now

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