Are you passionate about collecting, storing, and analyzing big data? Are you constantly looking for ways to work smarter, delivering new efficiencies anywhere an improvement can be made? Are you able to explain the most technical data to the least technical people without any confusion?

If yes, you are very likely the one to enjoy this role!

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

Why Us?

• Health & Legal support
• Discount program
• Sport activities
• Outstanding offices
• Comfortable place in a cozy room
• Continuous education
• Flexible schedule
• Remote work
• Diversity of Domains & Businesses
• Variety of technology