Senior Software Engineer

January 28

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Logo of DALTIX - Retail Data that Works

DALTIX - Retail Data that Works

DALTIX is a company focused on providing reliable retail data that businesses can trust. They specialize in managing and analyzing retail data to help enterprises save resources and make informed decisions. With advanced tools like the A³ Tool for automated assortment analysis and DaltixMatching for product matching, they enable retailers to quickly identify market niches and optimize product offerings. By integrating data sources such as Nielsen and using advanced AI, DALTIX ensures data quality with a Human-in-the-Loop process, helping companies increase revenue through strategic decisions based on robust data analysis. Their services cover a comprehensive data journey from data collection to storage, integration, and advanced analysis, assisting companies in sectors like FMCG to gain competitive edges in their markets.

Price monitoring • Business Analytics • Data Analytics • Retail Data • Product monitoring

11 - 50 employees

🛒 Retail

🤖 Artificial Intelligence

💰 Seed Round on 2019-06

Description

• Help build and improve data collection and transformation systems for Daltix’s data pipeline. • Crawl millions of URLs and process terabytes of data while maintaining data quality. • Work with an experienced web scraping team on challenging engineering problems. • Lead development of APIs, tools, and integrations for observability and scalability. • Collaborate with teams to resolve data quality issues and iterate on new capabilities. • Educate on code quality and robust engineering practices.

Requirements

• 5+ years building & deploying production-grade backend systems; proficiency in Python, Javascript/Typescript and AWS • Hands-on web scraping experience or the ability and desire to gain this experience quickly • Systems thinking: capable of delivering end-to-end solutions with performance, testing, security and observability in mind • Experience (and love of) working in agile, startup environments with shifting priorities and some ambiguity • Fantastic communicator, especially in a remote team • Comfortable being in an on-call rotation one weekend in four • Bonus points: Past experience working in large data environments • Hands-on infra & ops experience (terraform, kubernetes, docker, github actions, large scale job orchestration etc.)

Benefits

• Comprehensive package including a competitive salary • Flexible working conditions • Annual company events • Health+travel benefits

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