Please note, this team is hiring across all levels and candidates are individually assessed and appropriately leveled based upon their skills and experience.
By bringing together zero trust security with network optimization, Netskope Borderless WAN allows customers to confidently provide secure, high-performance access to every remote user, device, site, and cloud.
It also simplifies the on-boarding of traffic to the Netskope Security Cloud and NewEdge network, so customers can on-board more quickly and efficiently.
What's in it for youThe BWAN Data Engineering team builds and optimizes systems spanning data ingestion, processing, storage optimization and more.
We work closely with engineers and the product team to build highly scalable systems that tackle real-world data problems and provide our customers with accurate, real-time, fault tolerant solutions to their ever-growing data needs.
We are looking for skilled engineers experienced with building and optimizing cloud-scale distributed systems to develop our next-generation ingestion, processing and storage solutions.
You will work closely with other engineers and the product team to build highly scalable systems that tackle real-world data problems.
Our customers depend on us to provide accurate, real-time and fault tolerant solutions to their ever growing data needs.This is a hands-on, impactful role that will help lead development, validation, publishing and maintenance of logical and physical data models that support various OLTP and analytics environments.
What you will be doingDesign and develop streaming ETL services that ingest millions of rows per minute.
Evaluate open source technologies to find the best fit for our needs, and contribute to some of them to meet our unique needs and help the community.
Coordinate with other service development teams, product management and support teams to ensure scalability, supportability and availability for owned services and dependent servicesRequired skills and experience
5+ years of hands-on experience in architecture, design or development of enterprise data solutions, applications, and integrations
Excellent algorithms, data structure, and coding skills with either Java, Scala programming experience.
Proficiency in SQL
Experience building products using some of the following distributed technologies:
Distributed Processing Engines (i.e. Apache Spark, Apache Flink or Apache Beam)
Distributed Queues (i.e. Apache Kafka, AWS Kinesis or GCP PubSub)
Columnar or NoSQL Stores (i.e. Big Query or Clickhouse)
Relational Stores (i.e. Postgres, MySQL or Oracle)
Experience with software engineering standard methodologies (e.g. unit testing, code reviews, design document)
Excellent written and verbal communication skills
Good to know
Read/Write intensive DBs (BigTable, DynamoDB, HBase, Cassandra)
Exposure to workflow scheduling tools (Airflow, Oozie, Azkaban)
Keen on applying Data Governance principles
Exposure to a Cloud provider (GCP, AWS, Oracle), plus Terraform
Experience with ADR and other product processes
Prior experience working in a distributed (remote) team environment·Education
BS or MS in Computer Science or equivalent training/knowledge
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