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Data Engineer

Experience3 years

Sai has 3+ years of experience in software development. He has worked on technologies such as CI/CD, MongoDB, Docker, Java, data extraction, etc.

Expert in
  • Data Engineering
  • MongoDB
  • Docker
  • Java
  • Data Extraction
Also worked with
  • PHP
  • SQL
  • Kubernetes
  • Data Science


Data Scientist

Experience8 years

Dan has 8 years of experience in software development and implementation of data management systems / platforms. He was recognized among the Top 30 entrepreneurs in the UK, by Startups Magazine, and among the Top 27 Most Disruptive Entrepreneurs in the UK, by The Telegraph

Expert in
  • Team Management
  • SQL
  • Data Science
  • Data Engineering
Also worked with
  • Python
  • Machine Learning


Data Structures Developer

Experience7 years

Bulat has 7 years of experience developing apps such as social networks, messengers, delivery apps, loyalty apps, camera, and location-awareness apps. He has also worked on API integrations like Facebook/Instagram and SDK integrations.

Expert in
  • Kotlin
  • Java
  • Algorithms and Data Structures
  • Android/Kotlin
  • Android
Also worked with
  • Unit Testing
  • Dagger
  • Team Management
  • A/B Testing


Data Structures Developer

Experience10 years

Kyle is an engineer/architect with 10+ years of experience. He has scaled two startups into successful ventures. His skill set involves architecting, designing complex solutions, and leading technical teams.

Expert in
  • VBA
  • CI/CD
  • C
  • SQL
  • .Net
Also worked with
  • MVCSQL Tuning
  • XML
  • Test Planning


Data Analyst

Experience15 years

David has an experience of 15 years in software engineering. He is focused on creating highly efficient, optimized and structured software solutions to meet the business needs.

Expert in
  • Data Analysis
  • Unix
  • Problem Solving
  • C++
  • Python
Also worked with
  • Data Engineering
  • Communication
  • Data Science

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Ultimate guide to hire data modeling experts

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

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Ultimate guide to hire data modeling experts
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How to hire data modeling experts? Skills to look for, interview questions, and more

In this age of digital technologies, your company's success largely depends on how you extract valuable insights from raw data. Data modeling experts validate data sources, cleanse inconsistencies, and establish rules to maintain data quality over time. They collaborate closely with business stakeholders, understand their requirements, and create a structured data model that supports the organization's goals. But finding the right professionals for this critical role is a complex and time-consuming task. But, we are here to guide you on how to hire data modeling experts. Let's dive into the journey of hiring a data modeling expert and unlock a world of untapped potential.

Skills to look for in a data modeling expert?

At a high level, hire data modeling experts who have the following skills in their arsenal:

1. Ability to perform data modeling

Data modeling is the first and most crucial step in generating a sufficient database. The process follows three major schemas - conceptual, logical, and physical. By following the three schemas, a data expert can build an abstract structure and implement & deploy it in real-time. That’s why you should hire data modeling experts who pay great attention to the design principles and ensure system performance.

2. Expertise in databases

Knowledge of databases can be considered a crucial need to be a data modeling expert. The database is where all the collected and generated data are stored, and you don’t want to hire data modeling experts who are just familiar or have very little knowledge of database storage. Instead, you should onboard a highly-qualified professional who has extensive knowledge of various DBMS technologies such as MongoDB, NoSQL, Oracle, Cassandra, MySQL, PostgreSQL, etc.

3. Strong data architectural skill

An ideal data modeling expert needs to have a firm grasp of architectural and organizational skills. Data architecture means building a structural design that accelerates the development process and improves data quality & efficiency. It is used to determine the tools and platforms that can be utilized for storing and analyzing data effectively in the system. Therefore, hire data modeling experts who have strong data architectural skills.

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4. Knowledge of various programming languages

When you hire data modeling experts, you must ensure that they have proficiency in various programming languages, especially database programming languages like SQL or MySQL. Additionally, they must have knowledge of popular programming languages, such as Python, Java, C++, R, etc. This is because programming languages facilitate the integration of data modeling tools and libraries. For instance, Python has a rich ecosystem of libraries like NumPy, and pandas that provide advanced data manipulation and modeling capabilities.

5. Up to date with latest tools and technologies

You should hire a data modeling expert who keeps themselves up to date with the latest data modeling tools and technologies like ER/Studio, ERwin, IBM InfoSphere Data Architect, SQL Database Modeler, and others. Proficiency in these tools can help developers automate the data modeling process, thus helping them save time and effort. Besides that, expertise in data modeling tools helps developers to improve the accuracy of data models.

6. Strong interpersonal skills

Communication is a bridge between confusion and clarity, making it an important factor that should be seriously considered during the recruitment process. Developers are expected to work with several cross-functional teams, consequently making communication an important way to effectively convey the message to others. Hiring the best data modeling experts means that they can easily and efficiently communicate to technical as well as non-technical audiences.

Create a hiring funnel

Creating a hiring funnel will provide you with numerous benefits, like assisting you in identifying the top skills to hire top remote data modeling developers who will fit into your company's culture.

What Turing does for you

Candidates screening
Candidates screening

We will help you select the best talents and spot a skilled developers 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


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


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

Top interview questions to hire data modeling experts.

Whether you're an IT recruiter or a project manager, you know that it is critical to the success of your project to hire remote data modeling experts. Here are some sample interview questions to use when looking for a new database engineer to work on your database systems.

It is a process of creating a conceptual representation for the data to store in a database. It is of three types, namely - Conceptual, Logical, and Physical models. When you hire remote data modeling developers, ensure that they explain each type in detail.

Data modeling has two types of schemas - Star schema and Snowflake schema. An ideal candidate should not just list out the names but also explain the two schemas clearly.

You want to hire remote data modeling experts who not only explain the terms but also discuss how both the terms are different from each other and how they work. They might say that OLAP refers to Online Analytical Processing, whereas OLTP refers to Online Transaction Processing. In OLTP, the data is primarily concerned with fundamental day-to-day operations, and in OLAP, the data is used mainly for decision making, planning, and problem-solving.

It is a process of querying data when it is occupied in the computer's random access memory (RAM) instead of querying data stored in a storage disk.

Types of normalizations are first normal form (NF1), second normal form (NF2), third normal forms (NF3), Boyce-Codd normal form (BCNF), fourth normal forms (NF4), fifth normal form (NF5), and sixth normal form (NF6).

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

  • Describe major challenges that you faced in your previous companies?
  • What kind of strategies do you use for a new data model.
  • What is Denormalization? Briefly describe.
  • What does ERD mean?
  • What is discrete and continuous data?

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Turing offers top-quality, cost-effective, and highly productive data modeling experts who belong to the top 1% of the world's remote developers. All Turing engineers are selected only after going through a series of rigorous tests where their skills are evaluated to a very high 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 data modeling experts work for at least 4 hours in your time zone for your convenience.

You can get in touch with us to hire data modeling experts who are going to work according to your time zone, that too without burning a hole in your pocket.

Turing has created an AI-powered deep-vetting talent platform to vet remote developers to a very high standard Turing tests developers based on 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.

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