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Ahmed

Ahmed

Elasticsearch Developer

Experience8 years
AvailabilityFull-time

Ahmed is a software developer with 8 years of experience in developing web applications on different cloud infrastructures (AWS, Azure, and GCP). He has experience in building and deploying microservices and serverless apps on various platforms through different CI/CD tools.

Expert in
  • Flask
  • Elasticsearch
  • Python
  • Microservices
  • Docker
Also worked with
  • Django
  • EC2
  • DevOps
  • AWS
Ossaija

Ossaija

Elasticsearch Developer

Experience7 years
AvailabilityFull-time

Ossaija has 7 years of software engineering experience. He has an expert level understanding of Javascript, NodeJs, ReactJs and Python.

Expert in
  • Ionic
  • Node.js
  • JavaScript
  • Elasticsearch
  • Back-End Development
Also worked with
  • CSS
  • PHP
  • Agile
  • CI/CD
Tarun

Tarun

Elasticsearch Developer

Experience20 years
AvailabilityFull-time

Tarun has a proven track record of working as a Lead Cloud Platform Engineer, and Subject Matter Expert (SME) on hybrid multi-cloud technologies (AWS/Azure/GCP).

Expert in
  • AWS
  • Azure
  • Elasticsearch
  • JavaScript
  • React
Also worked with
  • MySQL
  • Socket.io
  • Node.js
  • PostgreSQL
Dmitry

Dmitry

Elasticsearch Developer

Experience20 years
AvailabilityFull-time

Dmitry is a tech leader, cloud architect and site reliability engineer with over two decades of intense professional experience strictly adhering to DevOps methodology.

Expert in
  • Elasticsearch
  • DevOps
  • Docker
  • Ansible
  • Terraform
Also worked with
  • Optimization
  • Git
  • Linux
Alex

Alex

Elasticsearch Developer

Experience14 years
AvailabilityFull-time

Alex is a senior full-stack web developer with 14 years of experience working with companies ranging from small startups to large scale enterprises. He has worked on creating custom tools, improving existing ones, and creating mobile apps and websites.

Expert in
  • Elasticsearch
  • Node.js
  • PHP/MySQL
  • jQuery
  • Bootstrap
Also worked with
  • Laravel
  • AWS Lambda
  • React
  • Django
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Ultimate guide to hire Elasticsearch developers

Finding it hard to hire a perfect Elasticsearch developer that fits your project requirements? This hiring guide can help you recruit the best software talent.

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Ultimate guide to hire Elasticsearch developers
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How to hire an ElasticSearch developer? Skills to look for, interview questions, and more

Hiring an ElasticSearch developer is easy, but hiring the right developer with adequate ElasticSearch experience and knowledge is difficult. Companies that wish to manage and contribute to new initiatives while analyzing huge amounts of data must hire the best ElasticSearch developers. Several factors need to be considered while hiring a high-experienced ElasticSearch developer. This includes experience with the latest tools and technologies, cloud computing platforms, and others.

On the other hand, hiring an experienced ElasticSearch developer with all the required skills is both hard and time-consuming. To ease the effort, Turing offers the best remote ElasticSearch developers pre-vetted for a Silicon Valley bar at half the price. Turing selects the best remote ElasticSearch developer after testing their expertise in many areas like C#, Azure, MongoDB, DevOps, AWS, Java, AngularJS, Jenkins, Scrum, and SQL, among others.

If you are a non-technical manager and interested in learning more about the hiring process of an ElasticSearch developer, we've put up an excellent resource for you.

Skills to look for in an ElasticSearch developer?

At a high level, ElasticSearch developers should have the following skills in his/her arsenal:

1. Knowledge of cloud computing services

Cloud infrastructures offer flexible resources, improved efficiency, innovation, and more. Cloud computing services help developers to be more productive by enabling multiple user sharing as well as allowing them to work on data at the same time. You should hire an ElasticSearch developer who has an in-depth understanding of how cloud computing works and has hands-on experience on various cloud computing services, like AWS, Azure, GCP, among others.

2. Proficiency in Scrum and Agile methodology

Agile is a project management methodology and Scrum is a specific Agile methodology that assists teams to work together. It helps developers to improve the quality of their products by providing continual feedback. To be a successful ElasticSearch developer, one must have proficient knowledge of how these methodologies work and how to utilize the method.

3. Knowledge of databases

Knowledge of various database systems can be considered a crucial need in organizations. The database is where all the data will be stored and you don’t want to hire an ElasticSearch developer who is just familiar or has very little knowledge of database storage systems. Rather, hire an ElasticSearch developer who knows various DBMS systems, such as PostgreSQL, Cassandra, MongoDB, MySQL, SQLServer, etc.

4. Familiarity with version control systems

Version control systems like Git, SVN, etc. help developers to build as well as develop applications in an efficient and secured manner. It also helps developers to keep track of each and every step they are taking while building any application or software. ElasticSearch developers who have adequate knowledge of working with such tools and platforms can work efficiently on any project.

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5. Writing clean codes

An experienced ElasticSearch developer must have adequate knowledge of several programming languages that are thoroughly used while developing applications. However, you want to hire an ElasticSearch developer who not only knows several languages but also understands the importance of writing clean codes.

6. Familiarity with the latest frameworks

Frameworks help in constructing efficient web applications. There are several frameworks, such as ReactJS, AngularJS, jQuery, Vue.js, and more. You don’t want to hire an ElasticSearch developer who is just familiar with the tools. Rather, you should hire someone who knows exactly what framework to choose and what features should get prioritized in the first place.

7. Knowledge of continuous integration environments

Continuous integration helps in validating the assumptions while building a web application. It enables a layer of transparency in the process of software development. To be a successful ElasticSearch developer, one must have knowledge as well as hands-on experience in continuous integration environments along with other important skills.

Create a hiring funnel

Creating a hiring funnel will provide you with numerous benefits, like assisting you in identifying the top skills and identifying an ElasticSearch developer who will fit into your company's culture.

What Turing does for you

Candidate screening
Candidate screening

We will help you select the best talents and spot an ElasticSearch developer who will fit in your company culturally.

Test task
Test task

We verify if the candidate really wants to work at your company and is able to spend 5+ hours to prove it by rigorous tests. It helps us to see a developer's caliber.

Technical test
Technical test

Developers are asked SKILL related questions and made to solve tricky problems. We use open questions. The goal is not only to test developers’ knowledge – we also want to find out their way of thinking.

Giving specific feedback
Giving specific feedback

We provide explicit feedback on both the test task and the technical test after we have checked the developer's expertise.

What you do

Interview
Interview

You can interview the shortlisted developers to check if the candidate matches your requirements and is a good fit for your company.

Hired/Not-hired
Hired/Not-hired

Hire intelligently with developers sourced by software, vetted by software, matched by software & managed by software.

Top interview questions to hire ElasticSearch developers

Whether you're an IT recruiter or a project manager, you know that finding top developers is critical to the success of your project. Here are some sample interview questions to use when looking for a new ElasticSearch developer to work on your online applications.

The latest version of ElasticSearch is version 8. The alpha release of this version includes improved security, several bug fixes, machine learning features, and more. It is very important to keep yourself updated with the latest version of tools you are using. You should hire ElasticSearch developers who not only know the newly added features but also explain the importance of the newly added features.

Some of the advantages of ElasticSearch include the multitenant capability for real-time use of indexing, horizontal scalability, reliability, among others. Answering the advantages demonstrates that a developer is familiar with ElasticSearch’s core design and architecture.

In ElasticSearch, a tokenizer receives a stream of characters, breaks it up into individual tokens, and outputs a stream of tokens. You should hire an ElasticSearch developer who has an in-depth understanding of what the term is and how it works.

There are several ways of searching in ElasticSearch. This includes URI search, request body search, etc. This question will help in understanding the skills that the ElasticSearch developer has mastered and how the developer has used them over the years.

An ElasticSearch cluster can contain multiple indices that are database as compared with a relational database. You must hire an ElasticSearch developer who has an in-depth understanding of clusters and related techniques.

The various commands available in Elasticsearch cat API include cat aliases, cat allocation, cat count, cat indices, cat master, among others. You must hire someone who knows exactly how these commands work and when not to use them.

In ElasticSearch, aggregations are the building blocks that help you to provide aggregated data based on a search query. The answer to this question reflects the level of expertise the developer has.

ElasticSearch can be stored in a distributed document. The answer to this question will help you understand the level of knowledge and best practices of an ElasticSearch developer.

Cluster is a collection of single or multiple nodes that holds the entire data as well as offers federated indexing and more. You must hire ElasticSearch developers who can describe what a cluster is as well as explain the functionality that it provides.

Data nodes hold shards that handle indexed documents. While hiring an ElasticSearch developer, it is important to keep in mind that the developer must have good knowledge of how these techniques work.

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Here are some more ElasticSearch developer interview questions that you can ask to assess a developer’s caliber.

  • What is the query language of ElasticSearch?
  • What is an ElasticSearch Analyzer?
  • Can you define REPLICA and what is the advantage of creating a replica?
  • What is fuzzy search ElasticSearch?
  • Explain relevancy and scoring in ElasticSearch?
  • What is a Document with respect to ElasticSearch?
  • What are the various types of queries that ElasticSearch supports?
  • Can you explain SHARDS with regards to ElasticSearch?
  • What is the syntax or code to delete an index in ElasticSearch?
  • What are the various possible ways in which we can perform a search in ElasticSearch?

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Turing offers top-quality, cost-effective, and highly productive Elasticsearch developers who belong to the top 1% of the world's remote developers. All Turing Elasticsearch developers are selected only after going through a series of rigorous tests where their skills are evaluated to ensure they meet the highest standard. Daily standups are mandatory for every Turing developer as they keep the developer and the customer in alignment with the discussed goal. All Turing remote Elasticsearch work for at least 4 hours in your time zone for your convenience.

Turing’s automated seniority assessment test, algorithm coding interview, and automated vetting flow help companies hire remote engineers in a matter of days. Turing’s AI-powered deep-vetting talent platform matches most companies with developers within 4 days.

Turing has created the first and only Intelligent Talent Cloud to vet remote developers for a Silicon Valley bar. Turing tests developers based upon actual skills vs. self-reported experience from traditional resumes or job interviews. Every developer at Turing has to clear our tests for programming languages, data structures, algorithms, system designs, software specialization, frameworks, and more. Each Turing developer goes through our automated seniority assessment test comprising 57 calibrated questions in 5 areas — project impact, engineering excellence, communication, people, and direction.

With Turing, you can hire the best remote developers for 100+ skills such as React, Node, Python, Angular, Swift, React Native, Android, Java, Rails, Golang, PHP, Vue, DevOps, Machine Learning, etc. Turing also offers developers based on tech stack and seniority.

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