Big Data Engineer

Israel- Ramat-Gan · Full-time

About The Position

The Big Data Engineer will join the data team alongside other data experts (Engineers & Analysts).

In this role you will influence every decision making process in the company and thus this is a crucial role for the company. The role allows the different departments to gain the much needed visibility to different data sources that shed light about every aspect of our product, from user behavior, new feature adoption, operational , financial and marketing KPI’s and more.

You will work closely with different departments to understand their needs and gain in-depth understanding of the business as this is key for any data engineer to fulfil this role properly.

Work environment

Elementor is the leading website builder for professionals on WordPress, powering 5M+ active sites. Elementor is the ultimate WordPress page builder that lets you create beautiful WordPress websites in the easiest and quickest way possible.

The key difference is that you can reach a high level of design, while designing live, and on the frontend of your site. It includes dozens of useful widgets & features like drag & drop and live editing, achieve a pixel perfect design with ease, a stunningly designed template library, a unique mobile editing toolset and a visual revision history feature.

Just recently we launched the Elementor Experts Arena that allows everyone to find an Elementor Expert that will build the best website for them, and there are even more products to come to extend the Elementor ecosystem and create the complete package for web creators to build their business on top of Elementor.


More awesome facts about Elementor

Simply put, Elementor is the best website builder in the world. It’s not that we are arrogant, there was actually a contest and we won. Twice !!. Elementor has won the best WordPress plugin contest for two years in a row.

We just recently celebrated more than 5M websites built on top of Elementor, and Elementor is only 4 years old.

In 2019 there were more than 100+ meetups worldwide, driven by our huge community.

There are Udemy courses that teach web professionals how to use Elementor to produce great stunning websites.

We didn't actually count, but there are probably hundreds of tutorials, guidelines, webinars and youtube videos out there that educates our awesome community on how to utilize the Elementor page builder to its full potential.

Responsibilities

  • Design, architect and build Elementor data architecture from the ground up
  • Implement best in class solutions for different use cases
  • Utilize a combination of cloud based and open source tools and frameworks to solve our most complex data problems
  • Develop tailormade solutions as part of the data pipelines
  • Implement data pipelines and data architecture that are scalable, fault tolerant, support high throughout, low latency while considering security aspects at all times
  • Consider cost optimization (finops) at all stages of the implementation
  • You will be expected to provide solutions that are best-in-class in terms of industry standards and best practices

Requirements

  • BSc in computer science / software engineering or other equivalent / related academic degree - Nice To Have
  • Hold a relevant certification in the area of big data architecture in one or more of the public clouds (AWS Solution Architect / Big Data | GCP Data Engineer) - Nice to Have
  • At Least 4 years of industry experience in a similar role - A Must
  • Familiar with different tools for using off-the-shelf ETL tools (like Matillion, Stitch, Fivetran) and orchestration frameworks (like Airflow, AWS Appflow, AWS Step Functions & Data pipelines, AWS Glue, GCP Cloud Composer & Dataflow) - A Must
  • Extensive experience in big data architectures at scale in the cloud (AWS | GCP) - A Must
  • Deep understanding and experience with data lakes & data warehouses in the cloud (S3, Redshift, Cloud storage, BigQuery) - A Must
  • Deep understanding and experience with RDS and NoSql DBs (MySql, Elastic, MongoDB, Redis) - A Must
  • You speak fluent python but can understand other languages as well - A Must
  • Familiar with bash scripting and linux OS - A Must
  • Experience with near real time data streaming solutions (mainly different types of queueing and streaming, pub/sub paradigms, Kafka, AWS sns / sqs, Kinesis firehose & streames, GCP Cloud Pub/Sub & Dataflow) - Nice to Have
  • You are accustomed to talking to internal stakeholders, understand their needs and build the absolute best-in-class data architecture to solve their problems while looking at the company needs for short and medium term

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