Position: Strong Junior/Middle Data Scientist
Company: ISRAEL IT
Category: Data Science
Experience required: 2y
English level: intermediate

We are looking for a savvy Data Engineer to join our growing team of analytics experts.

In this role, you will be responsible for:
●Analyzing large data sets, mine data insights and create data processing tools and pipelines. 
●Supporting our software developers, database architects, data analysts, and data scientists on data initiatives, ensuring optimal data delivery architecture is consistent throughout ongoing projects. They must be self-directed and comfortable supporting the data needs of multiple teams, systems, and products. 

Your responsibilities as aData Engineer:
●Build analytics tools to provide actionable insights into customer acquisition, operational efficiency, and other key business performance metrics.
●Work with complex data sets and build data tools to meet functional / non-functional business requirements.
●Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using SQL and NoSQL on Google Cloud Platform technologies, including BigQuery, MongoDB and others.
●Work with stakeholders including the Executive, Product, Data and Design teams to assist withdata-related technical issues and support their data infrastructure needs.

What we need to see:
●2+ years of experience in a Data Engineer role
●Relational SQL databases: Google BigQuery.  
●NoSQL databases: MongoDB.
●Data visualization tools: Google Data Studio.
●Google Cloud Platform:CloudRun, PubSub, Storage.
●Programming & scripting: Python, bash

Ways to stand out from the crowd:
●Experienced data pipeline builder and data wrangler who enjoys optimizing data systems and building them from the roundup.
●Thrilledby the prospect of optimizing or even re-designing our company’s data architecture to support our next generation of products and data initiatives.
●Strong analytic skills related to working with unstructured datasets.
●Good SQL knowledge and experience working with relational databases.
●Good knowledge and experience working with NoSQL databases.
●Experience in building data pipelines, extraction, and transformation.
●Quick learner skills, motivated, and independent.