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高级数据工程师 2026 -COL

Senior Data Engineer 2026 -COL

AI开发工程职能支持限定地区(需当地身份)与中国几乎无重叠,需长期倒时差
公司Aimpoint Digital
薪资未公开
工作地点Colombia
地域资格限定地区(需当地身份)
时区要求与中国几乎无重叠,需长期倒时差
用工类型Full Time
发布时间17 天前
数据来源Himalayas
前往 Himalayas 查看并投递 →
注意地域限制:该职位明确限定在 Colombia 招聘。如果你是位于中国大陆的求职者,通常需要当地工作身份才能投递,或需与雇主确认是否接受独立合同(Contractor)形式合作。
作息提示:与中国几乎无重叠,需长期倒时差。

你喜欢与来自不同行业的客户合作,探索复杂的企业问题,并设计端到端的分析解决方案,以改进他们的现有流程和数据驱动的洞察力吗?

Aimpoint Digital 是一家充满活力且完全远程的数据和分析咨询公司。我们与数据工程领域最创新的软件提供商合作,解决客户最棘手的企业问题。在 Aimpoint Digital,我们相信将现代工具和技术与经过验证的原则相结合,以提供最佳的数据工程解决方案。

你将:

  • 作为值得信赖的顾问,与我们的客户合作,包括数据所有者、分析用户和高管
  • 作为小团队的一员独立工作,解决跨多个行业的复杂数据工程用例
  • 设计和开发分析层,构建云数据仓库、数据湖、ETL/ELT 流水线和编排任务
  • 使用现代工具如 Snowflake、Databricks、Fivetran 和 dbt,并通过认证提升技能
  • 使用 SQL、Python 和 Spark 编写代码,并使用 Git 和 CI/CD 等软件工程最佳实践
  • 支持数据科学和 ML 项目部署到生产环境 · 注:你不会开发机器学习模型或算法

你是什么样的人:

我们正在组建一支由才华横溢且有动力的人组成的多样化团队,他们深刻理解业务问题并享受解决问题。你是一个积极主动的人,热爱通过数据构建分析工具,让业务用户每天都能更好地完成工作。你热衷于为不断壮大的团队做出贡献,并建立最佳实践。

作为高级数据工程师,你将被期望在客户项目中独立工作,参与我们业务的发展,协助业务拓展,并为公司带来创新的想法和举措。

  • 计算机科学、工程、数学或相关专业的学历
  • 有管理利益相关者并与客户协作的经验
  • 需要具备良好的书面和口头沟通能力
  • 3年以上使用关系型数据库和查询语言的经验
  • 3年以上构建生产环境数据流水线的经验,能够处理结构化、半结构化和非结构化数据
  • 3年以上数据建模经验(例如星型模式、实体-关系模型)
  • 3年以上编写干净、可维护的代码的经验
查看英文原文

Do you enjoy working with clients from different industries to investigate complex business problems and to design end-to-end analytical solutions that will improve their existing processes and ability to derive data-driven insights?

Aimpoint Digital is a dynamic and fully remote data and analytics consultancy. We work alongside the most innovative software providers in the data engineering space to solve our clients' toughest business problems. At Aimpoint Digital, we believe in blending modern tools and techniques with tried-and-true principles to deliver optimal data engineering solutions.

You will:

  • Become a trusted advisor working together with our clients, from data owners and analytic users to C-level executives
  • Work independently as part of a small team to solve complex data engineering use-cases across a variety of industries
  • Design and develop the analytical layer, building cloud data warehouses, data lakes, ETL/ELT pipelines, and orchestration jobs
  • Work with modern tools such as Snowflake, Databricks, Fivetran, and dbt and credentialize your skills with certifications
  • Write code in SQL, Python, and Spark, and use software engineering best-practices such as Git and CI/CD
  • Support the deployment of data science and ML projects into production · Note: You will not be developing machine learning models or algorithms

Who you are:

We are building a diverse team of talented and motivated people who deeply understand business problems and enjoy solving them. You are a self-starter who loves working with data to build analytical tools that business users can leverage daily to do their jobs better. You are passionate about contributing to a growing team and establishing best practices.

As a Senior Data Engineer, you will be expected to work independently on client engagements, take part in the development of our practice, aid in business development, and contribute innovative ideas and initiatives to our company.

  • Degree educated in Computer Science, Engineering, Mathematics, or equivalent experience
  • Experience with managing stakeholders and collaborating with customers
  • Strong written and verbal communication skills required
  • 3+ years working with relational databases and query languages
  • 3+ years building data pipelines in production and ability to work across structured, semi-structured and unstructured data
  • 3+ years data modeling (e.g. star schema, entity-relationship)
  • 3+ years writing clean, maintainable, and robust code in Python, Scala, Java, or similar coding languages
  • Ability to manage an individual workstream independently
  • Expertise in software engineering concepts and best practices
  • DevOps experience preferred
  • Experience working with cloud data warehouses (Snowflake, Google BigQuery, AWS Redshift, Microsoft Synapse)  preferred
  • Experience working with cloud ETL/ELT tools (Fivetran, dbt, Matillion, Informatica, Talend, etc.)  preferred
  • Experience working with cloud platforms (AWS, Azure, GCP) and container technologies (Docker, Kubernetes) preferred
  • Experience working with Apache Spark preferred
  • Experience preparing data for analytics and following a data science workflow to drive business results preferred
  • Consulting experience strongly preferred
  • Willingness to travel

We are actively seeking candidates for full-time, remote work within Colombia. Medellin-based applicants will have the opportunity to work in our office in Medellin, COL.

Applicants must submit an English resume with their application to be considered for this opportunity.

Originally posted on Himalayas

本页面信息整理自 Himalayas,版权归原发布方所有。职位可能随时关闭,投递请以原始页面为准。 本站只做信息聚合展示,不参与招聘流程,也不向求职者收取任何费用。

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