Careers at Bigabid

Data Engineer

#li-hybrid Bigabid is an innovative technology company led by data scientists and engineers devoted to mobile app growth. Our proprietary ad platforms powered by machine learning are the outcome of that devotion.

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

Our ever evolving, state-of-the-art machine learning technology analyzes 50TB of raw data per day to produce millions of ad recommendations in real-time. This data is used to power our machine learning predictions, business critical metrics, and analytics to power our decision making.

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 professional data engineers to help us define and realize our vision for trustworthy data across the company. 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. The team will also create, from the ground up, an MLops infrastructure for our growing Data Science division.

Responsibilities:

  • Design and implement scalable data infrastructure that is architected for massive future growth in terms of amounts of data as well as types of fields and information managed in the system.
  • Design and implement advanced ETLs, create high throughput, fault tolerant infrastructure for data discovery, transformation, streaming, and storage. 
  • Be involved in technology selection processes and implementation of new parts of the architecture using these technologies
  • Have a deep understanding of our data, how it is acquired, managed, versioned, made discoverable, its relations, and how it can be consumed

Requirements:

  • B.Sc / M.Sc in Computer Science / Software Engineering / Electrical engineering or similar
  • +5 years of proven experience as a Data/Backend Engineer 
  • +3 years of experience skills with Python
  • Experience with designing and building ETL processes and data pipelines
  • ​​Experience with Big Data technologies and solutions (For example: Spark, Presto, Hive, Splunk, Hadoop, BigQuery, MapReduce, flink)
  • Experience with Cloud Environment, advantage to AWS (S3, Athena, Ecs, Lambda, Emr, Glue, etc) 
  • Experience working with a high scale of data (we process 50 TB a day)
  • Good Analytical skills in SQL.

Advantage:

  • Familiarity with Airflow, Pandas library, NodeJs, PySpark
  • Familiarity with data science and machine learning tools
  • Knowledge of Linux operating systems
  • Good knowledge in containerizing
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