Senior Data Engineer, Scribd

• 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. Hadoop, Spark, Hive, Flink, Samza, Storm, Elasticsearch, Druid, Cassandra, etc)
• Fluency with at least one dialect of SQL
• Expertise in Scala, Java, or Python

Desirable

• You will play a pivotal role in managing and optimizing our data stream of analytics events
• Your responsibilities will include designing and implementing robust data pipelines and transformations, ensuring data integrity through automated quality monitoring
• 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 financial operations, making it essential for the success of our partners and our business
• 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 Platform to implement better processing jobs for scaling our consumption of streaming data sets
• Almost everything you would be working on would be to increase the "customer satisfaction" for internal customers of Scribd data