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Senior Data Engineer

Position Description:

We are looking for an exceptional Senior Data Engineer who is responsible for designing and developing robust, scalable solutions for large-scale data infrastructure in a fast-paced agile environment. You will be encouraged to initiate new projects to collect, store, and analyze data and to partner with analysts, engineers, business stakeholders to push Okta forward. The ideal candidate will have a strong engineering background with the ability to tie engineering initiatives and business impact. You will participate in detailed technical design, development and implementation of applications using cutting-edge technology stacks.

Job Duties and Responsibilities:

  • Design highly-scalable and reliable data pipelines to consume, integrate and analyze large volumes of complex data from different sources (both batch and near-real-time) to support the fast-growing needs of our business
  • Build data access layer to provide data service to internal and external business stake holders
  • Constantly evolve data pipeline and data models to balance scalability and performance
  • Strong understanding of analytics needs and proactively come up with architectural patterns to improve the efficiency
  • Interface with Data Analysts and Data Scientists to gather requirements and build functionality
  • Support and enhance existing data infrastructure
  • Build data expertise and own data quality for allocated areas of ownership
  • Build and experiment with different tools and technology, and share learnings with the team
  • Contribute to evaluation of new technologies

Required Skills:

  • BS Computer Science, Engineering or another quantitative field of study
  • 5-7 years in a data engineering role
  • Strong knowledge in data warehouse and data lake space
  • Experience with building distributed system
  • Expertise in a programming language (Preferably Python or JAVA)
  • SQL, SQL, SQL!
  • Strong Experience with ETL tools such as Pentaho, Talend, or Informatica
  • Strong experience with relational database and columnar MPP database Redshift or Teradata, and Vertica
  • Strong experience with database and application performance tuning
  • Experience with different operating system (Unix/Linux/Windows)
  • Experience with Continuous Integration and Continuous Deployment tools and procedures such as Jenkins, Git, Chef, and Ansible
  • Experience with cloud infrastructure/platform(AWS, Azure, Google Cloud Platform)
  • Hands on and deep experience with schema design and data modeling
  • Familiar with Jira, Confluence and Agile methodology
  • Experience with real-time or near real-time data streaming using Storm or Spark
  • Experience with Kinesis or Kafka, Storm, Elastic, S3, Splunk, Spectrum, Redis, MongoDB, Spark, Zookeeper
  • Experience with building API using Java, python, php or other programming languages
  • Familiar with Tableau, Looker, Qlikview, Microstrategy, or other data visualization tools
  • Experience with CRM systems such as Salesforce 

Preferred Skills:

  • Distributed data visualization web application development experience
  • Machine learning
  • Big Data concept and experience

 Soft Skills:

  • Team player
  • Detail oriented
  • Self-driven personality
  • Innovative and ability to execute
  • Excellent oral and written communication skills. Must be able to interact cross-functionally with both technical and non-technical people

Okta is an Equal Opportunity Employer.

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Okta is the leading provider of identity for the enterprise. The Okta Identity Cloud connects and protects employees of many of the world's largest enterprises. It also securely connects enterprises to their partners, suppliers and customers. With deep integrations to over 5,000 apps, the Okta Identity Cloud enables simple and secure access from any device. Thousands of customers, including Experian, 20th Century Fox, LinkedIn, Flex, News Corp, Dish Networks and Adobe trust Okta to work faster, boost revenue and stay secure. Okta helps customers fulfill their missions faster by making it safe and easy to use the technologies they need to do their most significant work.

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