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Addi
Addi
201 – 500 Angajați
Sponsor pentru viza de lucrător calificatB2CComerț electronicFintech
Addi este o companie de tehnologie financiară axată pe extinderea comerțului digital în America Latină. Oferta sa destinată consumatorilor este concepută pentru a face cumpărăturile mai ușoare, mai rapide și mai transparente, permițându-le oamenilor să cumpere ceea ce își doresc, atunci când își doresc, fără dobânzi, costuri suplimentare, documente sau complexitate inutilă.
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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.

COColumbiaRemoteNormă întreagăNivel mediuSeniorLimbă Obligatorie: englezăInginer de analiză a datelor
AirflowAWSETLPythonSparkSQL

Descriere

  • 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.

Cerințe

  • 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.

Beneficii

  • 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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