[Data Engineer] [外企] [20-25k] 可远程

Xometry 新增一个 Data Engineer ， [外企] [ 20-25k ] 可远程

英语简历，英文面试，可能会手写代码，但是可以用 copilot 等 ai 工具。主要还是考察基础

主要要求：
基础：
data warehouse
airflow
postgresql

需要一个人能（接近）独立建立一个 dwh 的人
希望数仓知识&经验

内推加 V: Ace151314

Role description

We are expanding our IT team and looking for a Data Engineer who can support our efforts in data-driven
decisions and business-process optimization across the organization. This position is hybrid and includes
active feature ownership: we expect the person in this position to own all data transformation processes that
streamline data from multiple business and analytical systems into trustful, meaningful and coherent data
models to empower end-users (Management and Data Analysts) with insights and data-driven decisions.
Who we are?
We are Xometry: Xometry is a rapidly growing startup that is transforming international manufacturing. Our
proprietary instant quoting technology and international network of manufacturers provides a streamlined
on-demand manufacturing experience that is unparalleled in the market. We offer CNC processing, sheet
metal processing, 3D printing and other production methods to the customers ranging from largest
organizations like BMW, NASA, Bosch, General Electric to SMB and even individuals.
The platform – xometry.asia
The platform (ERP system for business management + Customer front + Suppliers front) is based on Ruby on
Rails/PostgreSQL stack, Typescript/React frontend, Python modules and integrations with 3rd party solutions
via APIs. Data stack is now based on Postgresql / Airflow . Currently, the Asian tech team is 14 people in size
and we prefer keeping it small and blazing fast. We serve all Asian business operations which are independent
of the US business served by another tech team of ~80. We are building the uber-like platform for
manufacturing, deploying updates every day, so there is a lot of interesting work to be done.
Responsibilities
● Take ownership, build & maintain the layer of meaningful and coherent data mart tables/models
that hide application level complexity from end-users and help them to self-service their decisions.
● ETL/ELT multiple data sources (ERP, CRM, payment systems, accounting systems, analytics, mailings,
etc.) to provide both meaningful data marts and correctness checks / discrepancy alerting processes to
prevent data corruption and systems malfunction.
● Educate and encourage teams and management to apply a data-driven approach. Make it really
simple for our users to answer 2 key questions: What happened in the past? What is happening now?
● Contribute to data warehouse development, maintaining high data quality, helping developers with
data transformations, integrations, ETL, etc. Prepare data for batching, streaming, machine learning.
● Taking part in the analytical efforts helping with the 3rd key question: What will happen in the future?
Successful candidate has
● 3+ years of experience as data engineer
● Understanding the target picture of DWH, technologies and processes around it: CI/CD, unit-testing,
data checks, dependency graph of ETL-processes, etc.
● Proven records of developing data models and maintaining DWH. We use Postresql and S3 but the
experience with similar systems also counts.
● Comprehensive knowledge in SQL & Python, solid experience with data pipeline architecture.
● Understanding web development tech stack, APIs, programming background is also a plus.
● Team player experienced in cross-functional teams, sufficient English for an international company.
● Ready to work in a startup environment with continuously evolving goals.
Work conditions
● English and Chinese speaking tech team in the Chinese branch of a large international company.
● A developing startup (90 people in China) inside the world market leader (1000+ people in total).
● Full-time position.
● Salary is negotiable with each candidate.