Senior Data Engineer

CHEQ

Tel Aviv, IL
  • Job Type: Full-Time
  • Function: Data Science
  • Post Date: 05/04/2021
  • Website: cheq.ai
  • Company Address: 23 Yehuda Halevi Street, Discount Building, Tel Aviv, 6513601

About CHEQ

CHEQ is an artificial intelligence and cybersecurity company. It offers Autonomous Brand Safety, a fully automated solution to protect advertisers from negative content and digital ad fraud in real time. The company utilizes machine learning to prevent brands from serving ads to brand-damaging content and fake bot traffic.

Job Description

Description

Our vision at CHEQ is simply to keep the internet human. We develop cybersecurity solutions for the digital media landscape to prevent and eliminate fraudulent, nonhuman and invalid internet traffic. Our clients benefit from an autonomous platform that is used to detect and prevent fake bot traffic for advertisers.

 

We are a rapidly growing, fast-paced, and technology-driven group where each individual’s contribution impacts the product’s success.

 

Our solution is based on large amounts of data: we collect several billion events per day. To support our business growth and growing customer base, we’re now looking for an experienced Data Engineer to join our team and to help us take our data platform to the next level.

 

You will:

  • Be responsible for designing, implementing, and maintaining data pipelines from different sources
  • Work with product managers and analysts to understand business priorities and translate requirements into data models
  • Design, implement and support robust, scalable solutions to provide business analysis capabilities, identify gaps and design processes to fill them
  • Collaborate with various stakeholders across the company like data science, architects and engineers in order to deliver team tasks with high quality
  • Own the data development process end-to-end including business understanding, methodology, QA and maintenance

Requirements

  • Bachelor's degree in Engineering, Computer Science, or a related discipline
  • 4+ Years of proven "hands-on" experience as a Data Engineer
  • Proven experience building and optimizing ‘big data’ data pipelines, architectures, and data sets
  • Advanced working with SQL databases- Postgres/MySQL and other Amazon RDS technologies 
  • Experience with data pipeline technologies such as Spark, Kafka, Hadoop, Amazon Kinesis
  • High proficiency with Python 
  • Knowledge and experience in ClickHouse - Big advantage
  • Working knowledge with Apache Airflow - a plus
  • Innovative, proactive, and independent
  • Strong Team Player with a “Can Do” attitude and the ability to actively push for excellence

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Disclaimer: Local Candidates Only
This company does NOT accept candidates from outside recruiting firms. Agency contacts are not welcome.