Required Senior Analytics Engineer
Ramat Gan
Full Time
A cloud enterprise platform to manage merchandise and inventory as one.
The company accelerates the adoption of machine learning to solve inaccuracies when it comes to long term forecasting.
The company uses short-term predictions to translate consumer behavior into daily execution that maximizes sell-through, margins, and overall sales. To achieve this, The company integrates innovative retail processes, such as new product introduction, assortment management, smart allocator, liquidation process, and discount model.
The company democratizes technologies that were once the preserve of tech giants and puts them in everyones hands.
Specializes in building scalable cloud infrastructure solutions and handling huge volumes of data and processing it fast and in a cost efficient manner.
We operate in 24 countries across the globe and focus on enabling any retailer to improve its business results constantly.
As a colleague, you can work from any timezone and be reworded with benefits from a startup in a hyper growth environment.
Job Description:
The ideal candidate is a self-motivated, multi-tasker, and demonstrated team-player.
You will be responsible for defining data models, building and deploying their ETL processes and data marts to be used for our BI reports. You will face various challenges including big data time series analysis, reports generalization and others.
What youll do:
Take part in designing and architecting data solutions for all application requirements in a distributed microservices environment.
Expand and optimize our data pipelines architecture, including ingestion, digestion and ejection parts.
Develop data pipelines for a variety of data products in our application.
Define, design and develop BI reports to represent the client our value.
Additional Information:
We are proud to be an Equal Opportunity Employer.
All your information will be kept confidential.
Requirements: 5+ experience in data analytics related position
SQL expertise, working with various databases, data warehouses, third-party data sources and AWS cloud services
Proficient with Python
Experience in building, designing, and optimizing data pipelines
Self-driven, Can-Do attitude
Nice to Have:
Experience in Spark
Experience with Argo-Workflow or other orchestration tool
Familiarity with supply chain systems (big advantage)
Passion for open source tools.
This position is open to all candidates.