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This is a senior software engineering role that focuses on enhancing the vector similarity search functionality within Elasticsearch, covering the design and implementation of new vector search features, enhancements to existing vector search functionality, and resolving bugs.
$150ExpandApply NowActive JobUpdated 2 days ago - UpvoteDownvoteShare Job
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Design, implement, and support large-scale data processing pipelines using Kubernetes, Spark, Kafka, ElasticSearch, and more. Are you interested in working with best in class technologies such as Spark, Kubernetes, ElasticSearch, Python and other languages.
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GrapgQL, gRPC, Docker Framework, SonarQube, Kafka, Loadrunner, Jira, Confluence, Cucumber, Kubernetes (or similar technology), ELK Integration (Elasticsearch, Logstash & Kibana) Atleast 3 years of experience in testing along with Java 1.8+, Vert.x/Spring Boot Microservices, Springboots, Restful Services (JAX-RS), REST and SOAP API, Java Testing Frameworks(JUnit, Mockito, PowerMockito.
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We're looking for a Principal Software Engineer to join the Elasticsearch - Search team. Elasticsearch is 99.8% Java! You've used several data storage technologies like Elasticsearch, Solr, PostgreSQL, MongoDB, or Cassandra and have some idea how they work and why they work that way.
ExpandApply NowActive JobUpdated 10 days ago - UpvoteDownvoteShare Job
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E.g., XPath, MongoDB query language, Elasticsearch query language, JSON Experience with the following technologies is also highly desirable: Python, Airflow. Bachelor’s degree in computer science or similar field with 10 years' experience as a data engineer, Database Administrator, or software developer.
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Responsible for data engineering functions including, but not limited to data extract, transformation, loading, integration in support of modern cloud computing platforms like Azure and Databricks. Design and build data processing pipelines using tools and frameworks in the Databricks/Azure ecosystem.
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Work with DevOps engineers on CI/CD, and IaC (Continuous Integration, Continuous Delivery, and Infrastructure as Code) processes; read specifications and translate them into code and design documents; and perform code reviews and develop processes for improving code quality.
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Responsible for defining and assisting in the implementation/maintaining Data Governance Policies, Quality Standards, Data Security Data Classifications, and the creation of a data catalog. Advanced Data Analytics / Machine Learning Techniques / Large Language models.
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Work with huge data sets and work with other Data Engineers and/or Scientists on analyzing this data using algorithms and machine learning. Implement and configure big data technologies as well as tune processes for performance at scale.
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Design and build ETL pipelines to automate the ingestion of structured and unstructured data. Responsible for deploying the developed solution in Azure environment and examining the results for accuracy.
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Assist in the discovery of new opportunities for data acquisition. Analyzes requirements and architecture specifications to create a detailed design document. 5 years' experience working in an Azure Environment.
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5 years' experience creating, implementation and maintaining a Data Government Policy. Ensure data architecture will support the requirements of the business. 5 years’ experience developing SQL and Python.
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Ability to identify and learn applicable new techniques independently as needed. Master’s degree in computer science or related field. Strong in scalability, performance, and availability of our systems.
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Familiarity with other query languages Path, SPARQL, etc. Strong technical communication skills; both written and verbal. Develop, Construct, Test and maintain data architectures. Strong problem solving and structuring skills.
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e.g., XPath, MongoDB query language, Elasticsearch query language, JSON Experience with the following technologies is also highly desirable: Python, Airflow.
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elasticsearch job Title: engineer senior java Company: Albertsons
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