Senior Data Engineer, Scribd

• We’re looking for someone who is not only skilled in data engineering but also understands the high stakes of working with business-critical data. Your expertise will directly contribute to the efficiency and reliability of our product and financial operations, making it essential for the success of our partners and our business
• Strong written and verbal communication skills
• You have at least 3 years of experience in data engineering creating or managing end-to-end data pipelines on large complex datasets
• 5+ years of relevant experience in Data Engineering, Backend Engineering, BI Engineering, or Software Engineering
• You have engineered scalable software using big data technologies (e.g., Spark, Kafka, Hadoop, Hive, Flink, Samza, Storm, Elasticsearch, Druid, Cassandra, etc)
• Fluency with at least one dialect of SQL
• Expertise in Scala or Python

Desirable

• You will play a pivotal role in implementing Data Engineering best practices to the ingestion, storage, and compute components of Scribd’s data platform. You will also shape Scribd’s data strategy, guiding stakeholders in how they consume and act on data
• Your responsibilities will include designing and implementing robust data pipelines and transformations, ensuring data integrity through automated quality monitoring
• Based on the project, this might involve cross-functional work with the Data Science or Content Engineering teams to troubleshoot, process, or optimize our business-critical pipelines, or working with Core Infrastructure to implement better processing jobs for scaling our consumption of streaming data sets
• Almost everything you will be working on will be to increase the "customer satisfaction" for internal customers of Scribd data