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Responsibilities
Design and develop F5’s cloud-based data systems to process Exabyte-scale data in near real-time.
Research new technologies for more efficient and scalable data collection, processing, storage, and retrieval.
Design and implement tools and methodologies to ensure data integrity and build out our data system health monitoring solutions.
Collaborate with the product team, other engineering teams, and the operations team todesign/implement/maintaincross-functional data systems for F5’s growing core business needs.
Required Qualifications
Bachelor's degree (or above) in Computer Science or related fields.
Proficient in the following languages: Java, Go
Proficient in SQL.
Effectively communicate with clarity and conciseness both in written and verbal forms.
Desired Qualifications
Proficient in Python, Rust, C, C++
Working experience with one of the public cloud systems: GCP, AWS, or Azure.
Working experience with Pub/Sub related technologies like GCP PubSub, Kafka, Pulsar etc.
Working experience with streaming (or micro-batching) data processing platforms like GCP Dataflow, Apache Flink, Apache Spark, etc.
Working experience with both relational databases and NoSQL databases.
Working experience with data processing programming models like Apache Beam, etc.
Working experience with data warehouse technologies like GCP BigQuery, AWS Redshift, Azure Synapse, Snowflake, StarRocks, Apache Druid, Clickhouse, etc.
Working experience with OpenTelemetry.
Expertise inPetabyte-to-Exabyte-scaledata processing frameworks.
The Job Description is intended to be a general representation of the responsibilities and requirements of the job. However, the description may not be all-inclusive, and responsibilities and requirements are subject to change.
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