Description

You will design and optimize data solutions for advertising technology, focusing on attribution models and performance measurement.

This role is hybrid.

Responsibilities

• Develop scalable data pipelines for efficient collection, processing, and storage.
• Build data solutions supporting billing, reporting, and core team systems.
• Collaborate with data scientists, product managers, and engineers to improve data processes.
• Translate business requirements into technical solutions through stakeholder engagement.
• Conduct A/B testing and performance analysis to validate data processes.

Required Skills

• 8+ years of related experience with a Bachelor's degree, or 6 years with a Master's, or 3 years with a PhD.
• Proven experience delivering data engineering solutions within the ad tech industry.
• Strong programming skills in Python, Java, and Scala.
• Experience with Kubernetes and stream data processing frameworks such as Flink or Apache Ignite.
• Proficiency with big data technologies including Hadoop, Spark, SQL, and MapReduce.
• Hands-on experience with orchestration tools like Airflow.
• Solid understanding of statistical concepts and relevant tools.

Preferred Skills

• Experience with Golang and RESTful APIs.
• Familiarity with real-time data processing, streaming technologies, Snowflake, and digital advertising ecosystems.

Key Skills

Education

Any Graduate