Analytics Data Engineer - App Store

As a member of the App Store Data Engineering team, you will play a key role in building large-scale data products for external reporting needs. This is a software engineering role with strong analytical responsibilities. We build robust, production-quality code and process petabytes of data daily in a distributed way. Data is our core product, and we care deeply about its correctness, semantic, lineage, usability and future evolution. Minimum Qualifications 5+ years of hands-on experience in data engineering, analytics engineering, distributed data processing, or similar roles 5+ years of hands-on experience in Java or Scala 3+ years of hands-on experience in building and maintaining service layer applications, including data access patterns and integration with backend data systems Expert-level proficiency in SQL Good understanding of computer science fundamentals — algorithms, data structures, complexity Good record of maintaining systems and apps in production Bachelor or Master degree in Computer Science, Software Engineering, Business Information Systems, Statistics or similar quantitative degree, or equivalent work experience Preferred Qualifications Excellent communication and collaboration skills and ability to present new ideas Deep understanding of big-data stack, experience with some or all of following technologies: Spark, Flink, Kafka, Trino(Presto), Hadoop, Airflow, Iceberg, DBT, Snowflake, Cassandra, HBase, S3-like blob storage, Redis and other similar systems Experience with traditional RDBMS systems: Oracle, PostgreSQL or others Understanding e-Commerce domain: payments, transactions, sales, subscriptions, monetization, etc Ability to work autonomously and unblock yourself Experience of working in corporate environments with big number of teams Data investigation and exploration skills System design and documentation skills