Чтобы адаптировать резюме под вакансию или составить сопроводительное письмо, загрузите резюме
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.
.svg)
