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Title DataOps Engineer

Riverbed Technology · Remote (US) · Remote

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About Riverbed Technology

Use Riverbed's AI-driven observability platform to unlock exceptional digital experiences. Enhance performance, resolve IT issues, and deliver seamless experiences effortlessly. Backed by Accel and Lightspeed.

About the role

We are looking for a DataOps Engineer to join our Data team and work across data engineering, databases, production operations, and Data Science / ML initiatives. Found on 1752vc Careers, the job board for startup and VC roles.

What they're looking for

  • Sc. in Computer Science, Software Engineering, Information Systems, a related field or an alternative experience
  • At least 2 years of experience in a data, database, backend, or similar technical role, including student positions
  • Good SQL skills, including joins, aggregations, subqueries, and window functions
  • Understanding of database fundamentals, including transactions, indexes, constraints, DDL/DML, and basic data modelling
  • Basic understanding of execution plans and query performance
  • Hands-on experience working with Linux
More about this role

Riverbed, the leader in AIOps for observability, helps organizations optimize their users’ experiences by leveraging AI automation for the prevention, identification, and resolution of IT issues. With over 20 years of experience in data collection and AI and machine learning, Riverbed’s open and AI-powered observability platform and solutions optimize digital experiences and greatly improve IT efficiency. Riverbed also offers industry-leading Acceleration solutions that provide fast, agile, secure acceleration of any app, over any network, to users anywhere. Together with our thousands of market-leading customers globally – including 95% of the FORTUNE 100 – we are empowering next-generation digital experiences. Learn more at riverbed.com

Position : DataOps Engineer

We are looking for a DataOps Engineer to join our Data team and work across data engineering, databases, production operations, and Data Science / ML initiatives.

  • Work with development teams on data aspects of new features and existing systems.
  • Take part in database and data-design reviews alongside senior team members.
  • Develop and improve SQL queries, stored procedures, schemas, and data processes.
  • Build and...

Read the full posting on Riverbed Technology's site ↗

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