Senior Data Engineer (AdTech)

The Senior Data Engineer will collaborate with our team to build, enhance, and maintain high-performance data systems and machine learning models, ensuring their scalability and reliability.

Responsibilities include designing and maintaining high-throughput data pipelines, optimizing real-time and batch data processing using Scala, and integrating advanced data solutions to improve performance. The role involves working with large-scale distributed systems, handling terabytes of data per second and processing millions of writes per second.

Our team is at the forefront of AdTech innovation, enabling cutting-edge solutions for data-driven advertising. We value hard work and flexibility, offering an environment where engineers can experiment, innovate, and push technological boundaries.

Our client is a leading AdTech company specializing in high-performance data systems and machine learning models, processing terabytes of data per second and millions of writes per second.

It is a large-scale AdTech platform designed to process massive amounts of data in real time, optimizing data-driven advertising with advanced machine learning models. It ensures scalability and reliability, enabling businesses to maximize efficiency and performance while leveraging cutting-edge data solutions.

Requirements

• 5+ years of experience as a Data Engineer
• Advanced knowledge of different non-relational schema models (Column Family, Graph, Document, and Object)
• Experience with advanced topologies and architecture design, such as Kappa and Lambda architectures
• GCP Dataflow experience
• Experience in Scala
• Experience in Python
• Experience with high-throughput systems
• Strong communication skills and at least C1 level of English

Would be a plus

• Experience in the AdTech industry

Personal Profile

• Problem-solving mindset
• Ability to work closely with cross-functional teams
• Willingness to experiment with new technologies and approaches

Responsibility

• Work with Apache Spark batch and real-time streaming to process data at scale
• Work with Scala microservices hosted on K8s (GKE) to support our products
• Work with MlLib and TensorFlow on Vertex AI to solve prediction and simulation issues, as well as a variety of machine learning challenges
• Deploy new models and engines for new ideas and analysis.

WHY US

• Diversity of Domains & Businesses
• Variety of technology
• Health & Legal support
• Active professional community
• Continuous education and growing
• Flexible schedule
• Remote work
• Outstanding offices (if you choose it)
• Sports and community activities