Position: Data Engineer, Clothing Retailer
Company: DataArt
Category: Data Science
Experience required: 2y
English level: intermediate

About the vacancy

Our client is a global fashion and clothing retailer. We are building a brand-new pilotage solution for the business managers to help them understand the company’s future KPIs and to help them make better business decisions. Your responsibility will be to build the core and heart of the solution – the forecasting ML models.

You will work as part of a rapidly growing team. In partnership with Google, we apply state-of-the-art technologies and techniques to achieve the best possible result in a limited timeframe.

TECHNOLOGY STACK & INFRASTRUCTURE: Google Cloud with access to the freshest and unexceptional services. SOTA ML libraries.

Responsibilities
- Design, build and maintain serverless data processing pipeline to collect and prepare data for further processing by the ML team. The data comes from multiple sources including AWS deployed Snowflake/VMs, Google Cloud BigQuery, Internet sources

Must have
- Experience working with Google Cloud: Cloud Storage, Cloud Functions, BigQuery
- 2+ years experience with Python
- Experience with Git, BitBucket, Jira, Confluence
- Solid understanding of common software development principles
- Good verbal and written communication skills
- A great level of self-motivation
- Experience with Linux
- Spoken English

Would be a plus
- Experience with Snowflake (simple queries)
- Experience with AWS cloud: EC2 instances, S3
- Any experience in Machine Learning, especially in Google Vertex AI

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