Hire Data Warehouse Developers
A data warehouse developer is a computer engineer who specialises in working with large and complex databases. They possess a comprehensive understanding of data warehousing design principles and practices. To become a data warehouse developer, it is recommended that individuals attend training seminars and workshops that provide them with hands-on experience in data warehousing concepts. This training can be supplemented with an entry-level position in database programming to give them the necessary skills to become a data warehouse professional.
Data Warehouse Developers play an important role in the collection, organisation, and dissemination of data and information critical to a company’s business intelligence. They design, plan, and implement new data warehouses, and develop both logical and physical data models. The importance of the data warehouse in the modern business context has led to a great demand for Data Warehouse Developers to work remotely.
What does Data Warehouse development entail?
The Data Warehouse (DW) or Enterprise Data Warehouse (EDW) is an essential component of Business Intelligence (BI) systems. It is responsible for aggregating, administering, and transforming data from multiple sources to generate meaningful business insights. By leveraging the EDW, organisations can combine and analyse data that is pertinent to their business needs, thereby facilitating informed decision-making.
Nowadays, data warehousing is increasingly ubiquitous in any field that involves analytics, as well as in the cloud. Those seeking a career in this area have the option of becoming a data warehouse developer or transitioning to bigger data technologies. For those interested in the data sciences, there are also opportunities to pursue. With data being a seemingly limitless domain, there is always the option of seeking remote data warehouse developer jobs at any given moment.
What are the duties and obligations of a Data Warehouse developer?
As a Data Warehouse Developer, it is your responsibility to ensure that the company for which you work has access to accurate and up-to-date data and information related to Business Intelligence. You must be proficient in a variety of areas including BI development, implementation, data architecture, and data warehousing. If you are employed in a remote Data Warehouse Developer role, it will be your responsibility to: – Design and implement data warehouse solutions that meet the company’s needs; – Analyse and assess current data warehouse architecture for scalability, security, and performance; – Develop and manage data models and ETL processes; – Work with end users to ensure that the data warehouse is meeting their needs; – Ensure that data is properly stored and safeguarded; – Monitor data warehouse performance and identify areas of improvement; and – Troubleshoot any issues or discrepancies within the system.
- Consolidate and optimise 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 analysed.
- 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?
In order to become a successful Data Warehouse developer, one will need to have a great amount of experience, hard work, and patience. Enrolling in college-level Data Warehouse courses is the most straightforward way to begin on this journey. While a computer science degree is popular among college graduates who aspire to be engineers, having a computer science degree or qualification is not a must to work as a Data Warehouse developer. Finding remote Data Warehouse development work can be easy if one is familiar with the technical stacks. It is important to select a software solution and practice it as much as possible to be able to apply it to various tasks and coding challenges. It is necessary to be able to apply one’s technical knowledge to real-world projects and activities to demonstrate their skills while also allowing them to grow and learn on the job. Developing a portfolio as a Data Warehouse developer is essential to show to potential employers. Below are the skills and techniques required to become a successful Data Warehouse developer:
Qualifications for becoming a Data Warehouse developer
In order to equip yourself with the necessary skills to secure a lucrative position in remote Data Warehouse development, it is essential to thoroughly study the relevant capabilities. To ensure that you are adequately prepared, let us review the details you must be familiar with to successfully work with Data Warehouses.
MDX QueryMultidimensional Expressions (MDX) is a query language used for Online Analytical Processing (OLAP) with a database management system. It is comparable to Structured Query Language (SQL) in that it provides a calculating language with syntax similar to spreadsheet formulas. MDX is a specialised vocabulary used to find and manipulate multidimensional data in OLAP cubes. Although some of the MDX expressions can be converted to standard SQL, this process can often result in complex or awkward SQL statements. The majority of OLAP suppliers have accepted MDX as the industry standard.
ASP.NET/.NETThe .NET Framework is an extensive managed environment for the development, running, and deployment of a vast array of applications and services. Its .NET technologies and the Common Language Runtime (CLR) are the key runtime engines that facilitate the efficient operation of .NET applications. This development and runtime infrastructure is being utilised to revolutionise the way commercial applications are created and deployed. The ASP.NET architecture is composed of Language, Library, and CLR components. The majority of ASP.NET applications are built in a component-based and modular style.
Adaptive methodologyAgile software development is a collection of iterative, collaborative approaches to software creation that promote a disciplined project management system, emphasising frequent inspection and adaptation, a leadership approach that emphasises teamwork, self-organisation, and accountability, engineering best practices that support the fast delivery of high-quality software, and a business-oriented approach that synchronises software development with customer needs and company objectives. The Agile Manifesto, created by fourteen software industry professionals, is a compilation of the strategies they believe to be the most effective in software development.
Analytical skillsEmployers value employees who possess the capacity to analyse problems, develop solutions, and execute them in a timely and efficient manner. Analytical skills refer to the ability to identify patterns, brainstorm, observe, assess data, incorporate new information, reason, and make decisions based on the various components at hand. To achieve the desired outcome, problem-solving may involve the application of either well-defined, rigorous techniques or more creative approaches. In either case, analytical talents are a must.
Where can I get remote Data Warehouse developer jobs?
Due to the numerous advantages associated with the Data Warehouse architecture, Data Warehouse developers are highly sought after in the IT industry. They can provide companies with a range of benefits by leveraging the unique characteristics of Data Warehouses. To become an effective Data Warehouse developer, dedicated effort is required to reach a proficient level of software development. To achieve this, developers should focus on two key objectives: gaining assistance from more experienced professionals and discovering efficient ways to practice in the field. It is crucial to identify the amount of practice necessary to become a proficient developer. Therefore, it is recommended to assemble a team to support and direct you through the development process.
At Works, we offer the most sought-after remote Data Warehouse development jobs available. With access to cutting-edge technology, you will have the opportunity to tackle complex technical and commercial challenges that will help you grow and develop quickly. Join our global network of experienced developers to explore long-term full-time remote programming jobs that come with higher salaries and more progression potential.
Responsibilities at work
- Consolidate and optimise 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 modelling methods and their applications.
- A comprehensive understanding of Tableau, SportFire, TIBCO, QlikView, MicroStrategy, Information Builders, and other reporting and analytical technologies is essential in order to be successful in this role.
- 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.
- Knowledge of MDX Query, C#,.NET / ASP.NET is required.
- Working knowledge of an Agile environment.
- Excellent analytical, consultative, and communication abilities.
- Outstanding organisational and time management abilities.