Bigabid is a State-of-the-art machine learning and advanced AI technology company that analyzes 50TB of raw data per day to produce over 1M real-time ad recommendations and bids on billions of devices. Our technology is powering our business critical KPIs, and analytics which automate all decision making.

We deliver valuable results and insights for a fast-growing clientele of major app developers using elite programmatic user acquisition and retargeting technologies.

Quality data is fundamental to Bigabid’s success. As a rapidly growing company, we are preparing for a future of tremendous growth and transformation. We are rebuilding our Data Engineering practice with a solid data foundation to enable further success.

We are seeking a Data Engineer to promote and maintain our unique data processing platform. You will be joining a team responsible for the management of huge amounts of data at petabyte scale, creation and management of enterprise grade systems, and flows that process ~50TB of data every day and growing.

Responsibilities:

• Design and implement scalable data infrastructure.
• Design and implement ETL and TLE’s, understanding the business requirements and transform the meaning to and from the actual data in the stream.
• Be involved in technology selection processes and implementation of new parts of the architecture using these platforms.
• Have a curiosity of our data, how it is acquired, managed, versioned, made discoverable, its relations, and how it can be consumed.
  
  

Requirements:

Requirements:

• B.Sc / Software Engineering / Electrical engineering or relevant professional experience.
• +4 years of proven experience as a Data Engineer / DBA
• +2 years of experience at high level with applicative SQL queries
  
  

Advantage:

• Experience writing ETL and scripts with Python
• Familiarity with Airflow, Pandas library, NodeJs
• Experience monitoring Databases and servers
• Experience with Cloud infrastructure
  
  

Excerpt:

Join a new team that will be responsible for the management of huge amounts of data at a Petabyte scale, creation and management of enterprise grade systems, and flows that process ~50TB of data every day and growing.