Title: Lead Data Engineer

location: Mountain View, CA (Hybrid)

Type: Full time

Responsibilities:

Develop and implement advanced attribution models to analyze and attribute the impact of various marketing channels on user conversion.

Collaborate with data scientists, product managers, and other engineers to refine and improve attribution methodologies.

Design and maintain scalable and optimized data pipelines for efficient collection, processing, and storage of attribution-related data.

Work closely with stakeholders to understand and translate business requirements into technical solutions.

Conduct A/B testing and performance analysis to validate and iterate on attribution models.

Stay updated on industry trends and emerging technologies related to attribution modeling and ad tech.

Skills and Qualifications:

Bachelor’s or Master’s in Computer Science, Data Science, or a related field.

Requires at least 8 years of related experience and a Bachelor's degree; or 6 years and a Master's degree; or a PhD with 3 years

Proven experience in attribution modeling within the ad tech industry.

Strong programming skills in Python, Java, or Scala.

Experience in working with Kubernetes and stream data processing frameworks (Flink, Apache Ignite)

Proficient in working with big data technologies and databases (e.g., Hadoop, Spark, SQL, and MapReduce).

Hands-on experience with orchestration tools like Airflow or similar

Solid understanding of statistical concepts and experience with relevant tools.

Excellent problem-solving and communication skills.

Preferred Qualifications:

Experience with machine learning techniques for attribution modeling.

Familiarity with real-time data processing and streaming technologies.

Knowledge of end-to-end digital advertising ecosystems and industry standards.

Knowledge of Snowflake and related technologies

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