Data Engineer

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.