Data Engineer

Basic Qualifications 5+ years of software or data engineering experience Familiarity with data pipelines and orchestration frameworks (Spark, Hadoop, Databricks, Airflow) Demonstrated expertise in modeling data to support business needs at scale Strong programming skills in Java, Scala or Python Knowledge of data warehouse solutions, including Databricks and Snowflake, with the ability to weigh the tradeoffs when choosing a technology You are a problem solver with strong attention to detail and excellent analytical and communication skills, who will collaborate to build greenfield solutions with high business value Preferred Qualifications Understanding of techniques for generating personalized recommendations, and how to prepare data to be consumed by machine learning pipelines Experience working with A/B testing, bandits, or other mechanisms for measuring product performance in a controlled fashion Experience with: Java, Scala, Python, Databricks, Airflow, AWS, Snowflake