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Data Engineer | Mobile

Creata il 02-04-2019
Location Tel Aviv

Descrizione

Houzz is the leading home renovation and design platform in the world. We have a highly engaged community of over 40M unique monthly users who leverage our technologies to find inspiration for their next project, connect with over 2.3M home design professionals and discover products in the Houzz Shop.
We are looking for a Mobile Data Engineer to build efficient ETL processes (focused on our mobile platforms- iOS and Android) that produce the core datasets and dashboards that are leveraged to understand how the houzz mobile apps is performing and to make data-driven decisions at Houzz. You will work closely with software developers, analysts, data scientists, product managers and researchers to internalize every use case of data within the mobile products of Houzz.
Responsibilities
  • Define metrics that track engagement across various aspects of our Mobile App and expose the data
  • Drive the performance of current and new product initiatives by leveraging appropriate statistical techniques and infrastructure
  • Build automated data reports using internal tools for key metrics
  • Work with data infrastructure/back-end peers & Mobile development engineers to define the data collection needs for future work
  • Required Skills & Experience
  • B.Sc. or M.Sc. in Computer Science or equivalent
  • Experience with analytics for consumer mobile applications using user log data
  • Able to write complex SQL queries. You should feel comfortable using aggregate functions and all types of joins
  • Ability to write scripts to extract data from various systems such as- Impala, Mysql, and tableau.  
  • Understanding of A/B testing and experiment design & analysis.
  • Proficiency in data architecture and/or data warehouse design patterns
  • Proficiency in an efficient batch and streaming ETL design in a mobile context
  • Proficiency in Python or Java, and an ability to learn the other
  • Experience with Big Data technologies such as Hadoop, Spark, Hive and Presto/Impala- Advantage
  • Experience with visualization and building dashboards tools such as Tableau, Superset
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