Lead Data Quality Engineer

We are looking for a Lead Data Quality Engineer to to understand business case scenarios and how that reflects in the incoming data files/fields and ensure our client's delivery quality.

The client's expertise and experience in marketing analytics, packaging, supply chain management and logistics helps customers optimize their marketing activity and address supply chain challenges big and small. We offer data-based insights and services that combine a strategic, long-term view with an unmatched commitment to execution.

You will analyze and cover testing needs in 2 teams:

• Inventory: new network-wide inventory solution, some of functionality: calculates days of supply from forecasted customer demand; provides visibility to detailed historical, current and forward inventory positions for each product at every location; generates near-real-time alerts (minimum-allowed shelf-life remaining, current and predicted safety stock etc.) This inventory solution will be offered as a multi-tenant, flexible SaaS plan with no upfront technology licensing costs.

Technology scope:
scala/akka policy engine, Spark Structured Streaming, kafka
python, Azure Data Factory and general ETL and data processing
terraform, Azure infrastructure automation scripting, Docker and Kubernetes

• Promotions: team creates its part of the system from scratch, integrating with new and existing systems. The main goal of the project is to help users to plan the delivery of products for the duration of promotions and events.
The tool allows the user to create an advertising event, build a graphic model and project the impact of all event parameters on the potential level of demand for the
advertised goods.

Technology scope:
NodeJS + Koa 2, React + Redux, PostgresQL DB + Sequelize, Typescript