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Staff Software Engineer - Analytics Infrastructure

This is opportunity for an experienced Software Engineer to join our analytics team who is passionate about data engineering.  We are building a large-scale distributed data platform to support drive business value from exponential data growth. You will share our passion and great pride in the elegance and usability of our solution and will join an engineering team that strongly believes in building scalable solutions verified thru automated testing, developed iteratively to deliver high-quality next generation of enterprise software.

Our elite team is fast, creative and flexible; with a weekly release cycle and individual ownership we expect great things from our engineers and reward them with stimulating new projects, new technologies and the chance to have significant equity in a company that is about to change the cloud computing landscape forever.

Job Duties and Responsibilities:

  • Implement and evolve a Data Lake storage system with low latency and high throughput for bulk data ingestion and query
  • Implement metadata, data governance, security, and accessibility
  • Work with engineering teams and architects on the development of projects, design, and implementation
  • Drive evaluation, development and roll out of new data collection and storage components
  • Drive initiatives to make data ingestion and storage components scale as usage increases
  • Conduct and participate in code reviews, analysis, and performance tuning
  • Provide technical leadership and mentorship to junior engineers
  • Implement unit, functional and performance tests
  • Collaborate with cross-functionally with QA, Product Owners, Engineering Services and Tech Ops 

Minimum Required Knowledge, Skills, and Abilities:

  • 3+ years of experience in object-oriented language, preferably Java and knowledge of Spring
  • Hands-on experience using a cloud-based big data stack such as Kinesis/Kafka, Spark/Storm, object storage such as AWS S3, messaging service (JMS, SQS), AWS Glue, SageMaker, Linux and Elasticsearch
  • Experience with Snowflake and AWS big data stack is a big plus
  • Experience in developing and tuning highly scalable systems
  • Excellent grasp of software engineering principles
  • In-depth understanding of multithreading, garbage collection and memory management
  • Familiarity of integrating ML libs into data pipeline is a plus
  • Knowledge of network security, authentication, and authorization is a plus

 Education and Training:

  • Bachelor’s Degree majoring in computer science

Okta is an Equal Opportunity Employer


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