Addi
Addi
Addi — Латын Америкасында цифрлық сауданы кеңейтуге бағытталған финтех-компания. Компанияның тұтынушыларға арналған қызметі адамдарға қалаған заттарын қалаған уақытта пайызсыз, қосымша шығынсыз, құжат рәсімдеусіз және қажетсіз қиындықтарсыз сатып алуға мүмкіндік беріп, сауданы жеңіл, жылдам әрі ашық етуге арналған.

Analytics Engineer, Marketing Data – Remote in Colombia

Own Addi’s marketing data platform, integrations, and reliability initiatives from Colombia. Build governed pipelines and AI-powered automation for a fintech payments, banking, and shopping platform.

Сипаттама

  • Manage Addi’s marketing data platform, pipelines, and integrations across Braze, AppsFlyer, GTM, Marketplace, and the app.
  • Improve marketing data reliability, efficiency, governance, and self-service, with AI agents as the standard operating model.
  • Complete an end-to-end assessment of the marketing data platform during the first 90 days.
  • Document data sources, jobs, tables, and integrations for both people and AI agents.
  • Surface platform pain points and communicate a prioritized improvement roadmap.
  • Implement tests and alerting for critical marketing data pipelines.
  • Deliver at least 99% on-time data for key tables and integrations.
  • Cut data incidents by 50% and determine their root causes within two business days.
  • Deploy at least two AI agents or agentic workflows to production within six months.
  • Automate recurring marketing data tasks, including audience requests, quality triage, and documentation maintenance.
  • Create runbooks and continuously improve deployed agentic workflows.
  • Reduce the cost or runtime of core marketing pipelines by at least 30% within nine months.
  • Retire unused or duplicate tables and jobs.
  • Maintain a governed catalog of marketing tables, events, and attributes with owners and approval rules.
  • Ensure data delivered to marketing tools originates from official pipelines.
  • Partner with Marketing, Growth, Marketplace, and technical and non-technical stakeholders.

Талаптар

  • Demonstrated ability to write and troubleshoot complex SQL without AI assistance.
  • Strong command of large-scale joins, window functions, CTEs, and incremental processing logic.
  • Ability to detect incorrect query results and clearly explain their causes.
  • Experience creating clean, reusable tables and data marts.
  • Proven experience building and operating ELT pipelines on modern data platforms.
  • Hands-on experience with dbt, Airflow or comparable tools, Git, and code review practices.
  • Experience working with SQL warehouses, notebooks, and scheduled jobs.
  • Working knowledge of data catalogs, schemas, tables, and access permissions.
  • Experience with testing, monitoring, and alerting, plus comfort with on-call support and root-cause analysis.
  • Ability to automate workflows and build integrations in Python.
  • Experience creating scripts and API integrations that other users can execute.
  • Daily hands-on use of coding agents such as Claude Code, Codex, Cursor, or equivalent tools.
  • Ability to define specifications, delegate multi-step work to agents, and evaluate their results.
  • Experience developing agents or agentic workflows that connect LLM calls with SQL, APIs, MCP servers, or other tools.
  • Understanding of agent failure modes, safeguards, and testing against real inputs.
  • Experience validating AI-generated output and adding appropriate verification checks.
  • Ability to write documentation and runbooks that work for both teammates and AI agents.
  • Ability to turn Marketing, Growth, and Marketplace needs into suitable data solutions.
  • Ability to manage an independent backlog and deliver work without close supervision.
  • Clear communication skills with technical and non-technical audiences.
  • Professional English proficiency is required.
  • Desirable: experience with marketing platforms such as Braze, AppsFlyer, or GTM.
  • Desirable: experience with reverse ETL or customer data platforms.
  • Desirable: advanced pipeline tooling, Spark performance optimization, or a data platform certification.
  • Desirable: experience with LLM APIs, LiteLLM, or MCP servers.
  • Desirable: knowledge of A/B testing and basic statistics.
  • Desirable: familiarity with data privacy requirements, including consent, opt-out, and Habeas Data.
  • Desirable: AWS experience and a background in fintech or another regulated industry.

Артықшылықтар

  • Competitive compensation package.
  • Company equity.
  • Benefits that extend beyond standard offerings.
  • Remote work opportunity.
  • Professional growth opportunities.
  • Collaboration with a world-class team.
  • Option to decline interview recording without affecting candidacy.
  • Feedback provided regardless of the hiring decision.

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