Staff Data Engineer, Ads

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Requirements:

• MS or PhD in a quantitative discipline: engineering, statistics, operations research, computer science, informatics, applied mathematics, economics, etc.
• 7+ years of experience with large-scale ETL systems, building clean, maintainable, object-oriented code (Python preferred).
• Strong programming proficiency in Python, SQL, Spark, Scala.
• Experience with data modeling, ETL concepts, and manipulating large structured and unstructured data.
• Experience with data workflows (e.g., Airflow) and data visualization tools (e.g., Looker, Tableau).
• Deep understanding of technical and functional designs for relational and MPP databases.
• Proven track record of collaboration and excellent communication skills.
• Experience in mentoring junior data scientists and analytics engineers.

Responsibilities:

• Act as the analytics engineering lead within Ads DS team and contribute to data science data quality and automation initiatives.
• Ensure high-quality data through ETLs, reporting dashboards, and data aggregations for business tracking and ML model development.
• Develop and maintain robust data pipelines and workflows for data ingestion, processing, and transformation.
• Create user-friendly tools for internal use across Data Science and cross-functional teams.
• Lead efforts to build a data-driven culture by enabling data self-service.
• Provide mentorship and coaching to data analysts and act as a thought partner for data teams.