Data Engineer

January 14

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Logo of Competera Pricing Platform

Competera Pricing Platform

Competera Pricing Platform is a company that provides AI-powered pricing solutions for retailers. The platform helps enterprises optimize their pricing strategies using demand-based pricing models and customer-centric approaches. Competera's tools include capabilities for real-time competitor data integration, dynamic pricing, and promotion management. Their tools support online, offline, and omnichannel pricing strategies across various industries, enabling retailers to increase margins and enhance market positioning by automating pricing decisions. With a focus on granular pricing at the SKU level and an effortless onboarding process, Competera facilitates efficient pricing decision-making while maintaining customer trust and profitability.

Dynamic Pricing • Price Analysis • Price Optimization • Price Intelligence • Price Monitoring

51 - 200 employees

🛍️ eCommerce

🛒 Retail

🤖 Artificial Intelligence

💰 $1.5M Seed Round on 2021-10

📋 Description

• In Competera, we are building a place where optimal pricing decisions can be made easily. • We believe that AI technologies will soon drive all challenging decisions and are capable of helping humans be better. • We are now looking for a Data Engineer to improve our data processing. • You could be a perfect match for the position if you want to have the freedom to make technical decisions and work on exciting and ambitious tasks. • Support existing ETL pipelines (SQL, Python, GCP stack). • Add new entities to datasets. • Optimize existing bottlenecks (query performance etc.) and close existing tech debt. • Answer data-related questions.

🎯 Requirements

• 2+ years of experience in data engineer role. • Strong SQL knowledge: your SQL queries are to be efficient and self-explanatory (this will be the biggest part of work). • Basic knowledge of core Python, followed by hands-on experience with it. • Experience in optimizing SQL queries. • Familiarity with Cloud. • English level - Upper-intermediate +. • Pleasant extras: Experience in building data pipelines, ETL design Apache Spark will be a big plus, Databricks platform. • Familiarity with Apache Airflow. • Experience with different SQL/NoSQL databases (PostreSQL, ClickHouse, etc.). • Soft skills: Problem solving, Critical thinking, Ability to work independently, Curiosity, Disciplined, Multi-tasking.

🏖️ Benefits

• 20 vacation days, 15 days off, and up to one week of paid Christmas holidays. • 20 business days of sick leave. • Partial medical insurance coverage. • Competera covers 70% of your training/course fee. • Regular performance and compensation reviews. • Recurrent 1-1s and measurable OKRs. • In-depth onboarding with a clear success track. • Flexible working hours (we start from 8 to 11 am) and no time tracking systems on. • Remote-first ideology: freedom to operate from the home office or any suitable coworking. • Rich innovative software stack, freedom to choose the best suitable technologies.

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