Questel

Ingénieur Expert Elasticsearch /Java

Questel
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2 months ago
Remote, Tunisia or Tunis, TunisiaSenior

Responsibilities

  • Design, optimize, and evolve Elasticsearch data models, mappings, tokenizers, analyzers, and data types for searches across millions of large documents.
  • Develop custom Elasticsearch plugins and extensions in Java for complex patent-processing requirements.
  • Prepare, test, and validate major and minor Elasticsearch cluster upgrades.
  • Develop and maintain the Elasticsearch query-management backend and high-performance caching systems in Java.
  • Design and optimize bulk and batch data-ingestion programs and real-time index-update flows.
  • Analyze cluster search and indexing throughput, latency, JVM utilization, garbage collection, and heap usage to drive performance improvements.
  • Act as the technical reference during production incident investigations involving slow queries and unstable nodes.
  • Perform application-level capacity planning, including shard, segment, and node sizing.

Requirements

  • Expert knowledge of Elasticsearch architecture, including Lucene, sharding, segments, index lifecycle, advanced aggregations, Query DSL, and text-document indexing and search.
  • Excellent command of Java Core, concurrency, and performance for backend, pipeline, and ideally Elasticsearch plugin development.
  • Strong knowledge of JVM tuning, garbage-collection log analysis, thread dumps, and heap dumps.
  • Knowledge of Python and data-manipulation libraries, particularly pandas.
  • Knowledge of Maven, Git, and Docker.
  • Excellent written and spoken French for daily interaction with the France-based team.
  • Autonomy, rigor, analytical investigation skills, and the ability to own optimization topics end to end.

Tech Stack

DockerElasticsearchGitJavaMavenPandasPython

Categories

BackendData Engineering
Questel

About Questel

1,001-5,000 employees
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