Data Warehouse Developers

Hire Data Warehouse Developers

A data warehouse developer is a computer engineer who deals with massive, complex databases. This person is acquainted with data warehousing design approaches and concepts. The ideal way to become a data warehouse developer is to attend training seminars that provide hands-on experience with data warehousing theory. This training may be combined with an entry-level database position to provide the skills required to become a warehouse expert.

Data Warehouse developers are responsible for the dissemination of data and information relevant to the company’s business intelligence. They also design and plan a new data warehouse, as well as generate data models and describe both logical and physical models. Because of the relevance of the data warehouse in every company context, remote Data Warehouse developer jobs are in great demand.

What does Data Warehouse development entail?

The Data Warehouse (DW) or Enterprise Data Warehouse (EDW) is a critical component of Business Intelligence (BI) systems that performs the process of assembling, administering, and manipulating data from various data sources in order to generate significant business decision-making measures by utilizing the EDW as a means to associate and analyze data related to the business requirements for which Business Intelligence is required.

These days, data warehousing may be found in every industry that works with analytics, as well as on the cloud. You may work as a data warehouse developer or move straight into big data technologies. You might also work as a data scientist. The scope of data, like that of data warehousing, is infinite. As a result, you should apply for remote Data Warehouse developer jobs at any moment.

What are the duties and obligations of a Data Warehouse developer?

The day-to-day tasks of the Data Warehouse Developer include supplying data and information relevant to Business Intelligence to the company for which they work. They have expertise in BI development, implementation, data architecture, and warehousing. Following a remote Data Warehouse developer employment, a person will have the following responsibilities:

  • Consolidate and optimize the present data warehouse architecture to ensure data is vetted and quality-checked.
  • Work on business intelligence and analytics solutions for internal and external customers.
  • Create and implement ETL procedures to acquire data from both internal and external sources.
  • Data architecture and ETL processes should be defined and executed.
  • Complete the creation and implementation of a data warehouse architecture in collaboration with key stakeholders.
  • The performance of the database should be monitored, adjusted, and analyzed.
  • Aid in the development and expansion of data marts, metadata, and data models.
  • Keep the data warehouse architecture code under version control.

How does one go about becoming a Data Warehouse developer?

You’ll need a lot of experience, labor, and patience to become a Data Warehouse developer. Enrolling in college-level Data Warehouse courses is the most apparent way to get started. Computer science is the most popular degree among college graduates who want to be engineers. However, it is crucial to note that working as a Data Warehouse developer does not need a computer science degree or qualification. Finding remote Data Warehouse development work is simple if you’re conversant with the technical stacks. Select a software solution to work on, then practice as much as possible so that you can apply it to a variety of vocations and coding chores. Understanding how to apply your technical knowledge to real-world projects and activities puts your skills to the test while also enabling you to develop on the job. This is critical if you want to construct a portfolio as a Data Warehouse developer to offer to prospective employers. Let’s have a look at the talents and methods required to be a successful Data Warehouse developer:

Qualifications for becoming a Data Warehouse developer

The first step is to begin studying the abilities that will assist you in obtaining high-paying remote Data Warehouse development employment. Let’s go through the details you’ll need to work with DW.

  1. MDX Query

    Multidimensional Expressions (MDX) is a query language for doing online analytical processing with a database management system (OLAP). It’s an OLAP cube query language comparable to SQL. It’s also a calculating language, with syntax similar to spreadsheet formulas. The MDX language is a vocabulary used for finding and manipulating multidimensional data in OLAP cubes. While some of them may be converted to standard SQL, even for relatively basic MDX expressions, this sometimes necessitates the construction of awkward SQL statements. The great majority of OLAP suppliers have embraced MDX, and it has become the industry standard.
  2. C#

    The object-oriented, contemporary, and type-safe programming language C#. C# allows developers to construct a broad variety of secure and dependable.NET applications. Because C# is a member of the C family of languages, C, C++, Java, and JavaScript programmers will feel perfectly at home. This tour provides an overview of the language’s core components in C# 8 and earlier. C# is a computer language that is surprisingly scalable and simple to maintain. Because of the tight structure of how static codes must be written, C# programs are continuously consistent, making them simpler to update and maintain than programs created in other languages. If you ever need to return to an old C# project, you’ll be glad to find that, although your procedures may have developed over time, your C# stack has not. Everything has a place, and everything is there.

    The.NET Framework provides a fully managed environment for designing, running, and deploying a wide range of applications and services. .NET technologies and CLR are the key runtime engines that oversee the execution of.NET applications (Common Language Runtime). It is the development and runtime infrastructure that is being utilized to revolutionize the creation and development of commercial applications. The ASP.NET architecture is made up of the following components: Language, Library, and Common Language Runtime (CLR). The vast majority of ASP.NET applications are component-based and modular.
  4. Adaptive methodology

    Agile software development refers to a set of iterative software development methodologies in which requirements and solutions emerge via collaboration among self-organizing cross-functional teams. Agile methods and processes promote a disciplined project management process that encourages frequent inspection and adaptation, a leadership philosophy that promotes teamwork, self-organization, and accountability, a set of engineering best practices that allow for the rapid delivery of high-quality software, and a business approach that aligns development with customer needs and company goals. Agile development refers to any development strategy that corresponds to the ideals of the Agile Manifesto. The Manifesto was developed by a group of fourteen software industry executives, and it expresses their understanding of which strategies work and which do not in software development.
  5. Analytical skills

    Employers want employees who can evaluate a problem and come up with the best solution in a timely and efficient way. Analytical skills are the ability required to solve problems. Analytical talents are used while detecting patterns, brainstorming, observing, assessing data, integrating new information, reasoning, and making decisions based on the various components and choices available to you. To identify answers, clear-cut, rigorous techniques or more inventive ways might be applied. Both methods to problem resolution need analytical talents.

Where can I get remote Data Warehouse developer jobs?

Because of the Data Warehouse architecture, Data Warehouse developers are among the most in-demand IT talents. They may assist enterprises in a variety of ways by exploiting Data Warehouse characteristics. They must, however, put up sufficient effort to achieve that professional level of software development. To get to this level, developers should concentrate on two things: getting help from someone with more experience and finding more effective methods to practice in the field. Knowing how much practice you should do as a developer is critical. As a consequence, form a team to support and guide you through the development process!

Works provides the top remote Data Warehouse development jobs available. Working with cutting-edge technology to address complicated technical and commercial challenges may aid in your rapid development. Join a worldwide network of top developers to discover long-term full-time remote programming jobs with greater pay and advancement opportunities.

Job Description

Responsibilities at work

  • Consolidate and optimize the data warehouse infrastructure that is already in place.
  • Ensure that data has been validated and quality-checked.
  • Work on analytics and business intelligence platforms for customers, both internal and external.
  • Create and deploy ETL methods to collect data from both internal and external sources.
  • ETL methods and data architecture must be designed and implemented.
  • Collaborate with key stakeholders to complete the creation and usage of data warehouse architecture.
  • Monitoring, adjusting, and analysis of database performance.
  • Assist in the construction and expansion of data marts, meta data, and data models.
  • Maintain data warehouse architecture code in a version control system.


  • Bachelor’s/degree Master’s in engineering, computer science, or information technology (or equivalent experience)
  • At least three years of expertise developing and managing data warehouse architecture is required (rare exceptions for highly skilled developers)
  • Extensive knowledge of technologies such as SQL Server, as well as SSIS and stored procedures.
  • Proficient in code development, quality assurance testing, RDBMS administration, and database monitoring.
  • Extensive knowledge of very efficient dimensional modeling methods and their applications.
  • Working knowledge of Tableau, SportFire, TIBCO, QlikView, MicroStrategy, Information Builders, and other reporting and analytical technologies is required.
  • Strong understanding of SAS and the R programming language.
  • Excellent knowledge of Hadoop, Impala, Pig, Hive, YARN, and other Big Data technologies.
  • English fluency is required for good communication.
  • Work full-time (40 hours a week) with a 4-hour overlap with US time zones.

Preferred skills

  • Knowledge of MDX Query, C#,.NET / ASP.NET is required.
  • Working knowledge of an Agile environment.
  • Excellent analytical, consultative, and communication abilities.
  • Outstanding organizational and time management abilities.