WHAT DOES A DATA WAREHOUSE DEVELOPER DO?

Published: October 9, 2024 – The Data Warehouse Developer develops and maintains the Enterprise Data Warehouse using SSIS for ETL processes and writing efficient SQL queries and stored procedures. This role involves performing data analysis, creating reports, and driving automation and Quality Assurance initiatives. Additionally, the developer manages data flows in Azure Data Factory and monitors SQL database performance while providing ongoing support for the reporting system.

A Review of Professional Skills and Functions for Data Warehouse Developer

1. Data Warehouse Developer Overview

  • Data Warehouse Design: Designs and implements necessary data warehouse changes.
  • ETL Development: Design, develop, and deploy ETL processes to support a variety of business needs.
  • Technical Specification Development: Develop detailed technical specifications and ETL documentation.
  • Custom Code Development: Develop custom code in Java to validate data extracted using complex SQL queries from multiple data sources, to customize bar chart colors used to generate the report.
  • Documentation Maintenance: Write and maintain documentation to describe application technical design and development, design logic, and SQL database columns/logic for Jasper Reports.
  • Communication with Management: Effectively communicate with management, finding optimal solutions to open issues quickly.
  • Technical Design Documentation: Create technical design documentation.
  • Code Implementation Participation: Participate in code implementation.
  • Collaboration with Stakeholders: Work closely with the Technical Lead, project manager, and business analyst to turn business requirements into coding specifications.
  • Code Testing: Tests code using sample data sets to ensure the output from the program meets the requirements.
  • Technical Document Development: Develops technical documents to accurately represent database architecture and design.

2. Data Warehouse Developer Job Description

  • Business User Collaboration: Work with business users to understand reporting and analytic requirements.
  • Requirement Translation: Translate these business requirements into BI dashboard, analytics, and report specifications.
  • BI Solution Design: Design and develop enterprise and departmental business intelligence, data warehousing, and reporting solutions.
  • Database Schema Design: Design database schema utilizing Toad Data Modeler.
  • ETL Process Development: Develop and implement ETL processes, reports, and queries in support of business analytics.
  • Interactive Report Development: Develop and implement interactive analytic reports and dashboards utilizing Tableau.
  • Ad-Hoc Reporting: Compile ad-hoc data and report requests.
  • Project Management: Work on multiple concurrent projects and participate in the entire software development lifecycle.
  • BI System Evaluation: Evaluate and improve existing BI systems.
  • Technical Documentation: Develop and update technical documentation.
  • Business Process Support: Support month-end and other key business processes.

3. Data Warehouse Developer Functions

  • Solution Design: Design, prototype, implement, and maintain innovative solutions on analytic platforms to meet user requirements.
  • Requirement Analysis: Conduct and participate in requirement and data analysis.
  • Database Performance Tuning: Analyze, troubleshoot, and performance-tune existing database applications.
  • Collaboration: Collaborate efficiently with business, data analysts, and other team members to transform business needs into working software.
  • Standardization Alignment: Align with software architects to achieve standardization across the data landscape.
  • Project Delivery Leadership: Lead Data Warehouse Developer is directly involved in the delivery of strategic projects, BAU enhancements, and third-line support.
  • Technical Expertise: Provides expertise to the team in best practices and "know-how" in both back-end as well as front-end technologies.
  • Development Standards Support: Support and influence development standards and knowledge-sharing processes and tools within the team.
  • Documentation Assurance: Ensure all developments are fully documented and meet high-level design requirements to ensure project delivery is compliant and fit for purpose.
  • Hands-On Delivery: Hands-on delivery of strategic projects, BAU enhancements, and third-line support.
  • Knowledge Sharing in SAP MI: Support and influence development standards and knowledge-sharing processes and tools within the SAP MI team.

4. Data Warehouse Developer Accountabilities

  • Data Warehouse Development: Primary data warehouse developer.
  • Data Warehouse Environment Design: Design, create, and maintain a data warehouse environment using Microsoft SQL Server and Data Vault.
  • ETL Package Development: Design, create, and maintain ETL packages using Microsoft SQL Server and SSIS.
  • Data View Creation: Create views of the data warehouse data for consumption by external applications.
  • Operational Data Store Maintenance: Design, create, and maintain operational data stores.
  • Subject Matter Expertise: Provide subject matter expertise to IT management.
  • SQL Administration Partnership: Partner with IT Infrastructure and operations groups to provide SQL administration.
  • Best Practices Collaboration: Partner with the BI Manager to provide data warehouse best practices, data modeling, and ETL (Extract, Transform, Load) processes.
  • Business Intelligence Understanding: Understand business intelligence analytic tools and dashboards to present information in a meaningful way.
  • Performance Optimization: Optimize the performance of the data warehouse environment.
  • Documentation Assurance: Ensure all developments are fully documented and meet high-level design requirements to ensure project delivery is compliant and fit for purpose.

5. Data Warehouse Developer Responsibilities

  • ETL Development: Work as ETL developer with SSIS to maintain and expand DataMart and integrations.
  • Stored Procedure and SQL Query Writing: Write extensive, elegant, and performance-effective Stored Procedures and SQL queries in SQL Server.
  • Data Analysis and Reporting: Performs data analysis and report development activities, such as the creation of SQL queries and stored procedures to extract data for reports.
  • Reporting System Support: Assists in the training, support, maintenance, and ongoing administration of reporting system.
  • Automation and Quality Assurance Support: Support driving automation and Quality Assurance processes in the team.
  • Data Flow Maintenance: Develops and maintains data flows in Synapse Workspace (Azure Data Factory).
  • Data Transformation and Monitoring: Transform the data and monitor performance in the SQL database.
  • Data Analysis Responsibility: Take responsibility for analyzing and sourcing the data.
  • Enterprise Data Warehouse Maintenance: Responsible for the development and maintenance of the Enterprise Data Warehouse.
  • Technical Leadership: Act as a technical lead and a hands-on developer.
  • System Implementation Development: Perform data analysis, design, development, unit testing, and documentation for small-to-medium system implementations.