About us :
Data Science UA is a service company with strong data science and AI expertise. Our journey began in 2016 with the organization of the first Data Science UA conference, setting the foundation for our growth. Over the past 8 years, we have diligently fostered the largest Data Science Community in Eastern Europe.
About the company :
Our client is the market-leading intelligence platform for paid search advertising. The unique combination of artificial search intelligence and inside industry knowledge, will help you drive more value from your PPC budget, from maximizing ROI to protecting your brand.
About the role :
We are seeking a skilled and experienced Data Engineer to join a dynamic team.
We offer :
Nice to have :
About us :
Data Science UA is a service company with strong data science and AI expertise. Our journey began in 2016 with the organization of the first Data Science UA conference, setting the foundation for our growth. Over the past 8 years, we have diligently fostered the largest Data Science Community in Eastern Europe.
About the company :
Our client is the market-leading intelligence platform for paid search advertising. The unique combination of artificial search intelligence and inside industry knowledge, will help you drive more value from your PPC budget, from maximizing ROI to protecting your brand.
About the role :
We are seeking a skilled and experienced Data Engineer to join a dynamic team.
We offer :
Understand distributed technologies and the best practices around them., Build and maintain services / features / libraries that serve as a definitive examples for new engineers., Design and write effective complex Spark jobs (data processes, aggregations, pipeline), complex asynchronous, highly parallel low latency APIs and processes., Work as part of an Agile team to maintain, improve, monitor the company's data collection processes using Scala and Java., Apply industry practices such as TDD and SOLID., Understand and be able to apply data structures and algorithms., Understand the company's data architecture and use appropriate design patterns., Design and implement databases for relational and non-relational storage technologies., Support the Data Science team to help deliver their machine learning models in to production environments] Requirements : Scala, SQL, Spark, AWS, RabbitMQ, Kafka, ETL, GCP, Java, Hadoop, Python