Senior

Data Warehouse Developer

Data

A Data Warehouse Developer is a specialized professional responsible for designing, building, and maintaining data warehouse systems to store and organize vast amounts of data efficiently. They develop the architecture and processes necessary for data extraction, transformation, and loading (ETL) operations. By ensuring data is accurately aggregated from various sources, they enable robust data analysis and reporting capabilities. Proficient in database management and SQL, Data Warehouse Developers play a crucial role in transforming raw data into actionable insights, supporting informed decision-making across the organization. Their expertise ensures data integrity, scalability, and performance of the data warehouse infrastructure.

Responsabilities

A Data Warehouse Developer is primarily responsible for designing, building, and maintaining the data infrastructure that supports the organization's data needs. They analyze and interpret business requirements to develop robust solutions that aggregate data from different sources into a centralized repository. This involves creating and managing ETL (Extract, Transform, Load) processes to ensure data integrity, consistency, and accuracy. These professionals also maintain and optimize data models, write complex SQL queries, and ensure that data is stored in a way that facilitates fast and accurate retrieval for business analysis. Moreover, they rigorously test and troubleshoot systems to identify and fix any discrepancies or performance issues, always seeking to improve the efficiency and scalability of the data warehouse.

In addition to the technical responsibilities, Data Warehouse Developers collaborate closely with business analysts, data scientists, and other stakeholders to understand their data needs and provide solutions that drive decision-making processes. They produce comprehensive documentation detailing the architecture, processes, and use cases of the data warehouse to facilitate ongoing maintenance and future upgrades. Staying up-to-date with industry trends and emerging technologies, they continuously evaluate and implement new tools and best practices to enhance the data warehouse's performance and capabilities. Through their meticulous approach, they ensure that the organization’s data environment is robust, secure, and capable of supporting advanced analytics and reporting functions.

Recommended studies/certifications

A strong educational background in computer science, information technology, or a related field is highly recommended for aspiring Data Warehouse Developers. Those looking to advance their careers in this domain should consider obtaining certifications such as Certified Data Management Professional (CDMP), Microsoft Certified: Azure Data Engineer Associate, or AWS Certified Big Data – Specialty. Additionally, hands-on experience with database management systems like SQL Server, Oracle, or MySQL, alongside proficiency in ETL tools such as Informatica, Talend, or Apache Nifi, is essential. Familiarity with data modeling, data integration processes, and big data technologies will further equip professionals with the skills necessary to excel in this role. Continuous learning through relevant courses and ongoing professional development is vital to stay updated with the latest industry trends and tools.

Skills - Workplace X Webflow Template

Skills

Data Cleaning
Machine Learning
Database Design
Data Analysis
Statistics
Data Governance
Skills - Workplace X Webflow Template

Tech Stack

Hadoop
Tableau
Machine Learning
Google Analytics
Data Warehousing
Git
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Hiring Cost

113000
yearly U.S. wage
54.33
hourly U.S. wage
45200
yearly with Vintti
21.73
hourly with Vintti
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