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data engineer for cloud cost management

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Summary

Data engineer who designs, builds, and owns scalable data pipelines and ETL infrastructure on GCP (BigQuery, Dataproc, Dataflow) using SQL and Python/NodeJS, plus big data tools like Spark, to power analytics and business insights for Box's cloud content management platform. Hybrid role: at least 3 days per week from the Warsaw office.

Описание

Box is a leader in Intelligent Content Management. Its platform helps organizations collaborate, manage the content lifecycle, secure critical content, and transform business workflows with enterprise AI.

Задачи

  • Identify business opportunities and design and build scalable data solutions;
  • Build and own data pipelines that clean, transform, and aggregate data from disparate sources;
  • Create and maintain optimal data pipeline architecture;
  • Assemble large, complex data sets meeting functional and non-functional business requirements;
  • Identify, design, and implement internal process improvements by automating manual processes, optimizing data delivery, and redesigning infrastructure for scalability;
  • Build infrastructure for extracting, transforming, and loading data from diverse sources using GCP BigQuery and Spark;
  • Build analytics tools that use data pipelines to provide actionable insights into operational efficiency and business performance metrics;
  • Support Executive, Product, Data, and Design stakeholders with data-related technical issues and infrastructure needs;
  • Create data tools that help analytics and data science team members build and optimize the product;
  • Influence across teams and functions and build organizational best practices.

Требования

  • 3+ Years of relevant industry or academic experience working with large amounts of data;
  • Experience building and optimizing scalable data pipelines, architectures, and data sets;
  • Awareness of emerging technology trends and opportunities to improve development processes;
  • Expert SQL skills;
  • Experience with Python or NodeJS;
  • Experience with GCP, including BigQuery, Dataproc, and Dataflow/Fusion;
  • Experience with big data tools such as Hadoop, Spark, or Kafka;
  • Strong analytical skills for working with structured and unstructured datasets;
  • Experience supporting and working with cross-functional teams in a dynamic environment;
  • Familiarity with virtualization, container abstractions, and orchestration such as Kubernetes or Docker;
  • Familiarity with visualization software such as Tableau;
  • Familiarity with frontend web frameworks such as React;
  • Nice to have: Scala or Java.

Условия

  • Work from the assigned office at least 3 days per week;
  • Equal opportunity employer with a commitment to diversity.

Skills

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See also

Data Engineering jobs by country — openings, pay and top skills →

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