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2 дня назад

Senior Data Engineers

Формат работы
remote (только Latam)
Тип работы
fulltime
Грейд
senior
Английский
b2
Вакансия из списка Hirify.GlobalВакансия из Hirify RU Global, списка компаний с восточно-европейскими корнями
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Описание вакансии

Текст:
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TL;DR
Senior Data Engineers (Modern Data Stack): Designing and maintaining scalable end-to-end data pipelines, warehouse solutions, and data models for analytics and data-driven decision making with an accent on SQL, Python, ELT/ETL, and cloud data platforms. Focus on integrating diverse data sources, ensuring data quality and governance, and optimizing workflow performance across reliable data products.

Location: LATAM

Company

hirify.global is a digital technology services company with approximately 2,000 professionals across four continents, delivering digital experiences for leading brands across automotive, commerce, financial services, healthcare, technology, media, and communications.

What you will do

  • Design, build, and maintain scalable end-to-end data pipelines for analytics, reporting, and data-driven decision-making.
  • Develop and optimize data models, transformations, and ELT/ETL processes using modern data stack technologies.
  • Build and maintain data warehouses and integrate data from internal and external sources.
  • Ensure data quality, governance, security, and reliability across data platforms and pipelines.
  • Monitor, troubleshoot, and optimize data workflows, models, and processing performance.
  • Support stakeholders by providing actionable insights and enabling effective use of data products.

Requirements

  • 5+ years of experience in data engineering, analytics engineering, or similar roles.
  • Strong experience with scalable data pipelines, data warehouses, advanced SQL, and data modeling.
  • Strong Python skills for data processing, automation, and orchestration.
  • Experience with dbt, Airflow, Airbyte, or similar modern data stack tools.
  • Experience with cloud-based data platforms and data warehouses, preferably Snowflake.
  • Ability to translate business requirements into scalable data models and technical solutions, and collaborate with business stakeholders and cross-functional teams.

Nice to have

  • Experience with Snowflake, BigQuery, Redshift, Databricks, or similar cloud data platforms.
  • Experience with Tableau, Power BI, Looker, Qlik, or similar business intelligence tools.
  • Experience in Marketing, Product, Revenue, or Customer Analytics.
  • Experience building semantic layers, self-service analytics solutions, or data observability practices.
  • Experience supporting AI, machine learning, or advanced analytics initiatives; fluency in English.

Culture & Benefits

  • Remote workforce environment with opportunities for learning, growth, and career ownership.
  • Career path planning supported by training, mentoring, and development resources.
  • Unlimited access to Udemy, internal courses, training, and a mentorship program.
  • Professional hubs for knowledge sharing and access to current technology trends.
  • Cross-functional culture focused on connection, collaboration, and inclusion.

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