Software Engineer, Big Data

March 11

🏢 In-office - Los Angeles

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1001 - 5000

💰 $550M Post-IPO Debt on 2022-01

Description

• Build data processing and exploration pipelines along with ML infrastructure to power our intelligence using tools like Spark and Flink • Take part in the full life cycle of user-facing applications at scale, from design to implementation, testing and production • Develop a strong understanding of the business, industry, codebase, and/or systems

Requirements

• 1+ year of professional software development experience with a focus on big data technologies • Experience with Hadoop, Spark, Hive, and/or other big data technologies • Comprehensive computer science fundamentals in coding, object-oriented programming, data structures, and algorithms • Experience with containerization technologies like Docker and/or Kubernetes • Preferred Qualifications: • 3+ year of professional software development experience, with a focus on big data technologies • BS/MS/PhD in Mathematics, Computer Science, Physics, related technical field or equivalent practical experience • Experience with data integration tools like Apache Kafka, Flume, and NiFi • Familiarity with data storage technologies such as Delta Lake, HBase, Cassandra, and MongoDB • Familiarity with Apache Hudi, Apache Beam, Apache Flink, Google Cloud Dataflow, Amazon Kinesis Data Analytics, and/or Azure Databricks

Benefits

• Competitive compensation • Exceptional benefits package • Flexible Vacation & Paid Time Off • Employer-matched 401(k) plan

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