# Skills needed for DW developer

A data warehouse developer is responsible for designing, developing, and maintaining data warehouse systems. To be qualified as a data warehouse developer, a person should possess a combination of technical skills and knowledge in the following areas:

### Must-have skills

1. **Database Management Systems (DBMS)**: A strong understanding of relational and analytical database management systems such as Oracle, SQL Server, PostgreSQL, or Teradata.
2. **SQL**: Proficiency in SQL (Structured Query Language) for creating, querying, and manipulating database objects.
3. **Data Modeling**: Knowledge of data modeling techniques, including dimensional modeling (star schema, snowflake schema), normalization, and denormalization. Familiarity with tools such as Vertabelo or ERwin, or PowerDesigner is a plus.
4. **ETL (Extract, Transform, Load)**: Experience with ETL processes and tools like Microsoft SQL Server Integration Services (SSIS), Talend, or Informatica PowerCenter for extracting, transforming, and loading data from various sources into the data warehouse.
5. **Data Integration**: Understanding of data integration concepts and techniques, such as data mapping, data cleansing, and data transformation.
6. **Data Quality**: Knowledge of data quality management and techniques to ensure data accuracy, consistency, and integrity in the data warehouse.
7. **Performance Tuning**: Familiarity with performance optimization techniques for data warehouses, such as indexing, partitioning, and materialized views.
8. **Reporting and Data Visualization**: Experience with reporting and data visualization tools like Tableau, Power BI, or QlikView for creating dashboards, reports, and visualizations to analyze and present data.
9. **Big Data Technologies**: Familiarity with big data platforms such as Spark and NoSQL databases like MongoDB or Cassandra can be beneficial, as some organizations incorporate these technologies into their data warehousing solutions.
10. **Programming Languages**: Knowledge of programming languages like Python, Java, or C# can help implement custom data processing logic or integrate with external systems.
11. **Cloud Platforms**: Experience with cloud-based data warehousing solutions such as Databricks can be a plus as more organizations move their data warehouses to the cloud.
12. **Version Control**: Familiarity with version control systems like Git or SVN for managing code and collaborating with other developers.

### Nice to have skills

In summary, while Linux skills are not a core requirement for a data warehouse developer, they can be valuable for managing, optimizing, and troubleshooting your data warehousing environment.

* Server Management
* Scripting and Automation (AWK, Bash)
* File System and Storage Management
* Networking and Security
* Performance Tuning
* Working with Cloud Platforms
* Deploying and Managing Containers (Docker, Podman, Kubernetes)
