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Staff Data Engineer - Sysdig

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Job Title
Staff Data Engineer
Job Location
Zaragoza
Job Description
In the cloud, every second counts. On the leading edge of security, Sysdig stops attacks in real-time by instantly detecting changes in cloud security risk with runtime insights and open source Falco. Trusted by a large enterprise customer base, we are a well-funded startup, passionate open source enthusiasts at heart, and problem-solvers who are building and delivering powerful solutions to secure cloud-native applications.

We have an organizational focus on delivering value to customers. We appreciate diverse opinions and open dialogue to spur ideas and we believe in working together to achieve our goals. We're an international company that understands how to cultivate an inclusive environment across all teams.

And we're a great place to work too - we've been named a "Best Places to Work" by Inc, the San Francisco Business Time, and Built In, with recognitions ranging from "Best Benefits" to a "Best Company for Happiness".

We are looking for driven team members who want to join us on our mission to lead cloud security globally. Does this sound like the right place for you?
What you will do
  • You will report to the Manager, Engineering.
  • Build Graph database platform using large-scale datasets to solve multiple use cases.
  • Lead design of graph database models to support a variety of use cases including property graphs.
  • Develop graph database ingestion pipeline while being the owner of the integrity of graph models and schema platform-wide.
  • Build both batch and real-time update processes to keep the knowledge graphs in sync.
  • You will build Graph database query services in the distributed system architecture.
  • You will collaborate across product engineering teams to use existing data assets in the property graph and to lead the creation of additional data assets.
  • You will resolve technical roadblocks and mitigate potential risks.
  • You will deliver system automation by setting up continuous integration/continuous delivery pipelines
  • What you will bring with you
  • Experience with property graphs/graph databases (Neo4j preferred).
  • Expertise with tuning and scaling Graph databases (Neo4j preferred).
  • Expertise with graph data models (LPG, RDF) and graph languages (Cypher, Gremlin, SparQL) with hands-on graph data modeling techniques for common use cases.
  • Experience with graph data modeling, graph schema development, graph data design.
  • 4+ years experience developing graph algorithms, optimizing complex queries, designing indexes and constraints.
  • Expertise developing APIs using property graph data
  • Proficiency in designing and building scalable Graphs in production
  • Competence with building data pipelines using distributed data processing frameworks.
  • Messaging/Streaming Technologies (NATS, Kafka, AWS SQS or Kinesis), Relational and NoSQL databases (Elasticsearch, Object Storage, Graph database) and APIs.
  • Experience developing scalable distributed systems using Go or Java.
  • Competence with CI/CD tools (e.g., Jenkins or equivalent), version control (Git), orchestration/DAGs tools.
  • What we look for
  • Experienced database engineer with expertise in Graph database and Big data implementation.
  • Someone with abilities to translate several use cases to data modeling.
  • Hands-on experience with database and integration (read/write) in high-volume, velocity, and variety (3Vs) environment
  • Work with engineering teams for data sourcing and standards.
  • When you join Sysdig, you can expect:
  • Extra days off to prioritize your well-being
  • Mental health support for you and your family through the Modern Health app
  • Great compensation package
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    Sysdig Headquarters Location

    San Francisco, CA

    View on map

    Sysdig Company Size

    Between 200 - 1,000 employees

    Sysdig Founded Year

    2013

    Sysdig Total Amount Raised

    $729,500,032

    Sysdig Funding Rounds

    View funding details
    • Series G

      $350,000,000 USD

    • Series F

      $188,000,000 USD

    • Series E

      $70,000,000 USD

    • Series D

      $68,500,000 USD

    • Series C

      $25,000,000 USD

    • Series B

      $15,000,000 USD

    • Series A

      $10,700,000 USD

    • Seed

      $2,300,000 USD