Middle/Senior Big Data Engineer (“Zero Waste” Advertising) Offline

Customer

Our customer is a rapidly growing US AdTech company which connects consumer experiences at scale via media and technology.

 

Project

Commerce platform for the open internet connects advertising, marketing, and CX through critical data and engaging digital experiences across platforms ranging from mobile to connected TV.

 

Across Connected TV, Mobile, and Desktop the product empowers premium publishers to create experiences that allow them serving the widest possible audience by optimizing consumers’ time and attention and delivering impactful results for advertisers. Brands and Advertisers have opportunity to get on our true attention guarantee of effective, zero-waste, high-engagement ad experiences that drive measurable brand funnel impact.

 

As a Data Engineer, you will be an important part of the team that owns data infrastructure. This is no small responsibility, because data is important for AdTech product as air for every living creature. Suppose you are excited by and have experience in ingesting, processing, storing, analyzing, and working in a Big Data environment. In that case, you are very likely the one to enjoy this role too!

 

Responsibilities:

Perform various tasks, from reading Kinesis streams using Spark Streaming, to joining and aggregating huge data sets, to integrating with third party data sources

Develop and launch new features to satisfy business needs

Be an active and engaged owner of data infrastructure

Be curious and seek to understand all aspects of the product

Comply with the best engineering practices, technical standards, and quality criteria set forth on the project

Troubleshoot and resolve issues, problems, and errors encountered across various systems

Collaborate with Data Science, Product, Research, and Engineering teams to iterate on the roadmap

Gather requirements when underspecified

 

Requirements:

3+ years commercial experience with Big Data technologies

Strong knowledge of SQL

High familiarity with Python, Scala

Experience debugging and optimizing Spark jobs

Good knowledge of cloud providers like AWS or Google Cloud

Familiarity with database fundamentals, such as ACID, snowflake schema, normalized/denormalized data

Upper-Intermediate level of English

 

Will be a plus:

Experience working with HDFS and S3

Familiarity with Data Science tooling in Spark

Experience in the advertising industry and with real-time analytics

 

Personal profile:

High level of self-organization

Strong written and verbal communication skills

Striving to high quality solutions

Flexibility and initiative

The job ad is no longer active
Job unpublished on 10 June 2022

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