Elasticsearch Developers Hiring Guide

Specialized Search and Analysis Engine

Elasticsearch has become perhaps the most popular search analysis engine. Thousands of companies, including Netflix, Shopify, Slack, Uber, Instacart, Udemy, Stack Overflow, and Wikipedia use the tool. 

First released in 2010, Elasticsearch is an open-source tool well known for being a multifaceted, multipurpose search engine with numerous applications — indexing, security intelligence, business analytics, and big data, to name a few. It also has a number of wide-ranging benefits, from scalability to high performance.

In just over a decade, Elasticsearch has grown from a search engine to an entire ecosystem, sitting alongside components and tools within the so-called “Elastic Stack.” Its popularity has prompted many businesses to attempt to incorporate the platform into their own stacks.

Are you trying to bring the power of Elasticsearch to your organization? Find out what to look for in a developer who specializes in it and how to find the best fit.


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    Hiring Guide

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    Job Description

What is Elasticsearch?

Built on Apache Lucene, Elasticsearch is an open-source search and analytics engine that accesses, manages, and stores many different types of data:

  • Geospatial
  • Numerical
  • Structured
  • Textual
  • Unstructured

A NoSQL database, Elasticsearch is famous for its foundation of RESTful APIs. It offers many distinctive benefits, such as:

  • Speed/high performance
  • Scalability
  • Reliability
  • Easy deployability
  • Distributability

Elasticsearch has several purposes, including indexing documents, analyzing and summarizing data, and storing information. Its ability to streamline real-time searches and present analytics immediately is the main reason why it has become so widely used.

Today, Elasticsearch is the central tool in the so-called “Elastic Stack,” an ecosystem of tools for finding, handling, and managing data. Logstash and Kibana accompany Elasticsearch to provide businesses with the ability to process and visualize data in several forms.

What to look for in an Elasticsearch developer

Elasticsearch and the Elastic Stack are enormously popular, so it’s not terribly difficult to find a talented developer with strong skills in these technologies. That said, you do want to look for a professional who can showcase previous work with a clear specialization in this space. There are certifications in Elasticsearch and other tools in the ELK Stack that demonstrate superior skills in these technologies.

Of course, the candidate should have excellent programming and development skills, with experience using languages like Java and SQL. Extensive knowledge of architecture and database design and management is also critical, as is experience with databases and data solutions.

Elasticsearch specializations

There are several different specialties in the Elasticsearch and the ELK Stack, so it’s important to determine which ones are ideal for your business. Engineers, developers, and consultants are some of these specialties.

As noted, there are Elasticsearch certifications available, serving to demonstrate elevated knowledge of and experience in the ELK stack in different types of roles.

An Elastic Certified Engineer, for example, focuses on expertise in the eponymous technology, while a Kibana certification helps data analysts improve their data visualization and analytics skills. Observability engineers can elevate their observability data skills, allowing them to work with dashboards, machine learning, and more.

What are the main features of Elasticsearch?

Elasticsearch has a number of core features. They include:

  • RESTful APIs
  • Indexing
  • Multi-language support
  • Strong security
  • Geolocation support
  • Near real-time search
  • Clustering
  • Full-text search
  • Automatic node recovery and data rebalancing
  • Alerting
  • Data rollups and streams
  • Schema creation
  • Filtering

Additionally, some of the benefits are:

  • Scalability, both horizontal and vertical
  • Reliability and resiliency
  • Extensive integration availability

How can you search in Elasticsearch?

Elasticsearch supports 3 types of searching. In a Multi-index, Multitype search, you’re able to search APIs across indices, thanks to the multi-index system. In a URI search, the search request is initiated through a URI with the search providing the parameters for the request. Finally, in a request body search, the request must be executed with a search DSL, including the query DSL in the body.

Explain nodes

When you initiate an instance of Elasticsearch, you start a node. There are several types of nodes:

  • Master nodes play a chief role, controlling the cluster and enabling management and configuration of additions and eliminations of other roles.
  • Data nodes store and handle data.
  • Client nodes serve as balancers, sending cluster requests to both master and data nodes.
  • Ingest nodes transform and process documents before indexing.

What is a cluster in Elasticsearch?

A cluster is a group of one or more nodes storing the entire data set. The cluster enables federated indexing and searching across all the nodes. A node must be given an individual name and designated to join a cluster.

Explain indexes

Clusters can include multiple types of indices. Each index is essentially a database of documents, each containing fields with values.

An innovation-driven company is looking for a software engineer with expertise in Elasticsearch and a passion for developing new technologies. The successful candidate will have extensive experience working with Elasticsearch and integrating the platform with other tools and technologies.


  • Work with the engineering, UI/UX, and data science teams to develop products that incorporate Elasticsearch
  • Design new systems for measuring and implementing quality-control procedures
  • Identify opportunities for new software and improvements of existing technologies
  • Communicate with stakeholders
  • Research and gather requirements
  • Debug software

Skills And Qualifications

  • At least 4 years of Elasticsearch development and Elastic Cloud migration experience
  • At least 7 years total application development experience
  • Experience working with other tools in the ELK stack
  • Knowledge of Java, Apache, Terraform, C#, .NET, SQL, REST, HTML/CSS, Angular, Spring, Spring Boot, Spark, C/C++, Python, and other tools, languages, and technologies
  • Knowledge of database design and architecture
  • Strong written and verbal communication, problem-solving, strategic thinking, and collaboration skills
  • Bachelor’s degree in computer science or a related field

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