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8 дней назад

Senior Analytics Engineer (Ads)

Формат работы
remote (только Brazil)
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
Brazil
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

Текст:
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TL;DR
Senior Analytics Engineer (Ads): Building robust analytical models and production data pipelines for an advertising platform with an accent on campaign performance, attribution, data modeling, and scalable AWS infrastructure. Focus on designing ingestion and transformation workflows, optimizing SQL and Python workloads, and supporting pacing, target ROAS, budget forecasting, and auction optimization.

Location: Brazil; remote-first culture with flexible work arrangements.

Company

hirify.global is a composable commerce platform serving B2C and B2B brands, distributors, and retailers through its global online commerce infrastructure.

What you will do

  • Build and maintain robust, scalable analytical models in AWS Cloud.
  • Define data requirements with product and technology teams.
  • Develop ingestion, transformation, and data modeling pipelines using the hirify.global data platform.
  • Translate technical and analytical stakeholder needs into practical data solutions.
  • Monitor performance, optimize queries, and ensure reliability across SQL and Python environments.
  • Contribute to data-stack best practices and platform evolution.

Requirements

  • Experience with ad tech or martech metrics and concepts, including campaign performance, attribution, ROAS, CTR, and CPC.
  • Experience designing data models for large-scale analytics.
  • Experience with AWS databases and data warehouses such as Athena, Trino, and Redshift.
  • Advanced SQL, Spark, and Python skills, including query optimization.
  • Hands-on experience with orchestration and transformation tools such as Airflow, Python, Spark, EMR, and Glue.
  • Knowledge of semantic data layers and practical experience using GenAI tools for development, debugging, and documentation.

Nice to have

  • Knowledge of software engineering practices.
  • Experience with semantic data tools such as dbt Semantic Layer, LookML, or Cube.

Culture & Benefits

  • Flexible work schedule and remote-first culture.
  • Annual profit-sharing program and equity eligibility.
  • Health, dental, and life insurance with national coverage.
  • Annual professional development budget for technology.
  • Flexible meal allowance, extended parental leave, childcare assistance, and wellness program.
  • Financial assistance for a work-from-home setup and language development incentives.

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