DATA WAREHOUSE ENGINEER RESUME EXAMPLE

Updated: Feb 24, 2025 - The Data Warehouse Engineer analyzes BI/DW problems and utilizes ML/AI to create a strong analytics platform. By collaborating with stakeholders, opportunities for leveraging company data are identified to enhance business solutions, while predictive modeling optimizes customer experiences and revenue generation. The engineer also assesses new data sources, ensures data quality, and recommends report standardization to improve information generation and distribution.

Tips for Data Warehouse Engineer Skills and Responsibilities on a Resume

1. Data Warehouse Engineer, Alpha Solutions, Springfield, IL

Job Summary: 

  • Develop, test and support future-ready data solutions for customers across industry verticals
  • Develop, test and support SQL scripts which include DDL, DML and procedures
  • Understand data architectures, modern data platforms, big data, ML/AI, analytics, cloud platforms, data governance and information management and associated technologies
  • Develop and demonstrate Proof of Concepts and Working Demos
  • Support and collaborate with other internal/external consultants in consulting, workshops and delivery engagements
  • Mentor junior IBM consultants in the practice and delivery engagements
  • Optimization, support and maintenance of the data warehouse environment
  • Report to the Technology team lead and keep management abreast of the status and progress of in-flight issues
  • Ensure due diligence has been carried out on all software changes, paying particular attention to detail on unit, component and systems integration testing
  • Package up artifacts using industry-standard tools such as Subversion, SDA & TeamCity
  • Work with BAU teams to ensure project changes are released to live in a co-ordinated manner Design and develop warehouse enhancements


Skills on Resume: 

  • Data Development (Hard Skills)
  • SQL Scripting (Hard Skills)
  • Data Architecture (Hard Skills)
  • Proof of Concept (Hard Skills)
  • Mentoring (Soft Skills)
  • Warehouse Optimization (Hard Skills)
  • Change Management (Hard Skills)
  • Project Coordination (Soft Skills)

2. Data Warehouse Engineer, Beta Technologies, Bellevue, WA

Job Summary: 

  • Build, monitor and troubleshoot Extract, Transform and Load nightly jobs
  • Curate, analyze and develop new attributes and metrics from disparate data sources and integrate with existing data warehouse
  • Create automated reporting using tools such as MicroStrategy, Microsoft Reporting Services, Tableau
  • Answer and resolve on-demand business inquiries and analysis
  • Analyze and track data trends while gathering data via SQL or OLAP Cube
  • Discover and recommend business opportunities through data analysis
  • Provide timely status updates on projects and initiatives
  • Gather data and documentation to support optimization and company vision
  • Completes post-mortem analysis to highlight areas of opportunities and planning adjustments
  • Help develop and implement ETL routines according to the data warehouse design and architecture
  • Supervise design throughout the implementation process


Skills on Resume: 

  • ETL Development (Hard Skills)
  • Data Curation (Hard Skills)
  • Automated Reporting (Hard Skills)
  • Business Analysis (Soft Skills)
  • Trend Analysis (Hard Skills)
  • Opportunity Identification (Soft Skills)
  • Status Reporting (Soft Skills)
  • Implementation Supervision (Soft Skills)

3. Data Warehouse Engineer, Gamma Innovations, Orlando, FL

Job Summary: 

  • Plan, create, coordinate, and deploy data warehouses and data marts
  • Design and build the semantic layer to access the data warehouses and data marts
  • Develop data architecture and data modeling within a structured data warehouse environment
  • Facilitate requirements gathering using expert listening skills and develop unique simple solutions to meet the immediate and long-term needs of business customers.
  • Create best practices for data loading and extraction
  • Work with Product Managers and Product Owners in understanding the requirements to develop product
  • Responsible for the product design, development, testing and optimizing the performance
  • Guide other team members to understand product vision, break out tasks and help them solve blocks and issues
  • Troubleshooting product bugs and performing permanent fixes and improving the reliability and quality
  • Develop required test cases and test scripts and analyze and review test results with Product Owners
  • Perform data cleanup to remove unnecessary data that’s just taking up space.


Skills on Resume: 

  • Data Warehouse Deployment (Hard Skills)
  • Semantic Layer Design (Hard Skills)
  • Data Architecture (Hard Skills)
  • Requirements Gathering (Soft Skills)
  • Data Loading Best Practices (Hard Skills)
  • Product Development (Hard Skills)
  • Team Guidance (Soft Skills)
  • Data Cleanup (Hard Skills)

4. Data Warehouse Engineer, Delta Systems, Richmond, VA

Job Summary: 

  • Participate in requirements analysis architectural and detail design coding implementation testing and maintenance for highly integrated complex information systems
  • Collaborate with business owners and other developers on various software implementation tasks
  • Identify resolve or escalate systems software and hardware issues and work with the vendor’s support team to resolve issues
  • Lead planning and scheduling of project tasks using agile methodology
  • Lead project deployment-related activities
  • Resolve technical issues and monitor progress against schedule, produce appropriate specifications and support documentation for applications in development
  • Manage all warehouse data, design architecture, and prepare appropriate documents to develop a schema data model.
  • Coordinate with business users and prepare documents to plan and control various volumes of data.
  • Maintain data warehouse systems and provide production support.
  • Evaluate all data and perform various tests on the data warehouse and ensure effective implementation.
  • Administer all data and ensure compliance with standards and policies. 
  • Maintain high quality of all deliverables and provide efficient guidance to all database architecture.


Skills on Resume: 

  • Requirements Analysis (Soft Skills)
  • Software Collaboration (Soft Skills)
  • Issue Resolution (Soft Skills)
  • Agile Planning (Soft Skills)
  • Project Deployment (Hard Skills)
  • Data Architecture (Hard Skills)
  • Data Warehouse Maintenance (Hard Skills)
  • Compliance Administration (Hard Skills)

5. Data Warehouse Engineer, Epsilon Analytics, Minneapolis, MN

Job Summary: 

  • Design and implement product cloud data warehouse schema for multiple stages of data.
  • Build a clean, reliable, and scalable “single-source-of-truth” cloud data store.
  • Work closely with data engineers and analytics engineers to build cloud data infrastructure to support business intelligence needs.
  • Design and develop systems for the maintenance of the business’s data warehouse.
  • Quickly and thoroughly analyze reporting and analysis requirements and translate the results into good technical data designs.
  • Consistently give technical proposals to optimize data warehouse capacity, scalability, and performance.
  • Establish the documentation of reports, and develop and maintain technical specification documentation for all reports and processes.
  • Design and develop systems for the maintenance of the business’s data warehouse, ETL processes, and business intelligence.
  • Develop and maintain technical specification documentation for all reports and processes.
  • Provide technical expertise to clients on business intelligence data architecture and on structured approaches for transitioning manual applications and reports to the client's businesses.
  • Monitors and troubleshoots performance issues on data warehouse servers and assists in the development of business intelligence, business data standards, and processes.


Skills on Resume: 

  • Data Warehouse Design (Hard Skills)
  • Cloud Data Store Development (Hard Skills)
  • Cloud Infrastructure Collaboration (Soft Skills)
  • Data Maintenance Systems (Hard Skills)
  • Requirements Analysis (Soft Skills)
  • Performance Optimization (Hard Skills)
  • Technical Documentation (Hard Skills)
  • Business Intelligence Expertise (Soft Skills)

6. Data Warehouse Engineer, Zeta Corporation, Raleigh, NC

Job Summary: 

  • Understand the client’s business, follow sector trends, and learn leading practices
  • Select appropriate methods for collecting and analyzing data, and develop informed recommendations that shape or support the client’s business strategy
  • Design overall data integration flow, data models (MDM, DWH/Reporting) from data sources into the data platform
  • Design and develop ETL/ELT processes that move, integrate, transform and manage data.
  • Design and develop BI dashboards and automate reporting tools
  • Document solution architecture and design and required governance & build data integration services catalog
  • Manage own work against the project plan to ensure a superior client experience
  • Team with others to produce a high-quality work product to ensure a superior client experience
  • Maintain a positive, professional attitude and adapt to changing priorities to instill confidence in the team
  • Value and consider the diverse perspectives and backgrounds of colleagues and clients
  • Use and apply frameworks to organize concepts, identify gaps, and communicate ideas clearly


Skills on Resume: 

  • Business Understanding (Soft Skills)
  • Data Analysis Methods (Hard Skills)
  • Data Integration Design (Hard Skills)
  • ETL/ELT Development (Hard Skills)
  • BI Dashboard Development (Hard Skills)
  • Solution Documentation (Hard Skills)
  • Project Management (Soft Skills)
  • Communication Frameworks (Soft Skills)

7. Data Warehouse Engineer, Theta Industries, Kansas City, MO

Job Summary: 

  • Design analytic solutions for business users that provide the data needed to operate the business
  • Design, develop, implement, test, document, and operate large-scale, high-volume, high-performance data structures for analytics platform
  • Implement data ingestion routines both real-time and batch using best practices in data modeling, ETL/ELT processes
  • Participate in technical decisions and collaborate with talented peers
  • Review code, and implementations and give meaningful feedback that helps others build better solutions
  • Write documentation on design, architecture and solutions
  • Guide clients in identifying any new data needs and deliver mechanisms for acquiring and reporting such information as well as addressing the actual needs.
  • Partner with the senior management and senior engineering in an attempt to refine the business’s data requirements
  • Monitor data warehouse work and provide subject matter expertise
  • Work across various international clients, from different countries, and industries, and participate in the entire BI lifecycle, focusing on reporting, data migration and dashboards.
  • Work cross-functionally across the project in an Agile methodology to complete user stories within the assigned sprint.


Skills on Resume: 

  • Analytic Solution Design (Hard Skills)
  • Data Structure Development (Hard Skills)
  • Data Ingestion Implementation (Hard Skills)
  • Technical Collaboration (Soft Skills)
  • Code Review (Soft Skills)
  • Documentation Writing (Hard Skills)
  • Client Guidance (Soft Skills)
  • Agile Methodology (Soft Skills)

8. Data Warehouse Engineer, Iota Development, Portland, OR

Job Summary: 

  • Creating star schema data models, performing ETLs and validating results with business representatives
  • Manage data for BI solutions and automate data collection and management
  • Builds SQL ETL routines to move, cleanse and prepare data for reporting
  • Design and develop databases and perform data extraction
  • Analyze existing SQL queries for performance improvements.
  • Develop, implement and optimize stored procedures and functions using SQL
  • Review and interpret ongoing business report requirements
  • Assemble reporting insights and develop executive summaries and trend reports
  • Spot trends and data anomalies
  • Provide insights and suggested ways to improve performance
  • Develop forecasts and suggest testing strategies.


Skills on Resume: 

  • Star Schema Modeling (Hard Skills)
  • Data Management Automation (Hard Skills)
  • SQL ETL Development (Hard Skills)
  • Database Design (Hard Skills)
  • SQL Query Analysis (Hard Skills)
  • Stored Procedure Optimization (Hard Skills)
  • Reporting Insights (Soft Skills)
  • Trend Analysis (Soft Skills)

9. Data Warehouse Engineer, Kappa Consulting, Tucson, AZ

Job Summary: 

  • Help build and maintain an enterprise data warehouse platform with its associated data models and ETL processes
  • Responsible for designing, building, and maintaining robust data models
  • Implement best practices and innovative solutions to provide timely, accurate, & reliable data
  • Help in the implementation of a high-performing data warehouse platform servicing thousands of users and a broad set of use cases
  • Build cross-functional relationships with data analytic teams and business leaders to understand their requirements and data needs
  • Constantly evaluate and optimize the deployment of data models to achieve greater efficiency and reliability
  • Design and develop robust and feature-rich data system for further data analysis
  • Monitor, debug, troubleshoot and upgrade existing DWH data entities and pipelines
  • Collaboration across organizations to ensure that the DWH system is created according to the master roadmap and business teams' requests
  • Interact with software engineers, DevOps engineers, and business analytics in regular DWH construction processes
  • Provision of detailed DWH process documentation


Skills on Resume: 

  • Warehouse Development (Hard Skills)
  • Model Design (Hard Skills)
  • Data Best Practices (Hard Skills)
  • Collaboration (Soft Skills)
  • Model Optimization (Hard Skills)
  • System Development (Hard Skills)
  • Troubleshooting (Hard Skills)
  • Documentation (Hard Skills)

10. Data Warehouse Engineer, Lambda Data, Charlotte, NC

Job Summary: 

  • Support for daily business activities to ensure all systems meet the business/client requirements.
  • Design and implement end-to-end BI solutions such as data modeling, data loading and data governance
  • Integrate up-and-coming data management and software engineering technologies into existing data structures as a part of innovation.
  • Implement/Support of Agile-Scrum methodologies.
  • Support/enhance the overall improvement of existing DWH&BI products.
  • Improve documentation, quality, testing and operational standards
  • Development of data warehouse and analytics projects - starting with the technical conception through implementation and testing to operation (Dev / Ops)
  • Development of innovative customer data solutions for digital insurance  
  • Construction of data models and loading routes (ETL)
  • Professional and technical analysis of structured and unstructured data
  • Collaborate with data engineers and work towards Data Warehouse migration to the cloud.


Skills on Resume: 

  • Business Support (Soft Skills)
  • BI Solution Design (Hard Skills)
  • Data Integration (Hard Skills)
  • Agile Support (Soft Skills)
  • DWH Improvement (Hard Skills)
  • Documentation Improvement (Hard Skills)
  • Data Development (Hard Skills)
  • Collaboration (Soft Skills)

11. Data Warehouse Engineer, Mu Solutions, Salt Lake City, UT

Job Summary: 

  • Assess business rules, perform source-to-target data mapping, and design, review, implement, and optimize ETL processes.
  • Review project plans, develop and test specifications, and perform data analysis.
  • Provide development support for existing systems, troubleshoot data and/or system issues, and build and extend toolsets.
  • Create and/or maintain batch jobs.
  • Create and maintain online systems and printed documentation.
  • Provide data analysis and identify data-related issues within the Data Warehouse environment, as well as source systems
  • Provide quality service satisfaction by possessing strong customer service skills.
  • Create and maintain the logical and physical dimensional data models.
  • Work within an agile development methodology.
  • Prepare various code designs and ensure efficient implementation of the same
  • Evaluate all codes and ensure the quality of all project deliverables


Skills on Resume: 

  • Data Mapping (Hard Skills)
  • Project Specification Review (Hard Skills)
  • Development Support (Soft Skills)
  • Batch Job Maintenance (Hard Skills)
  • Documentation Management (Hard Skills)
  • Data Analysis (Hard Skills)
  • Customer Service (Soft Skills)
  • Dimensional Modeling (Hard Skills)

12. Data Warehouse Engineer, Nu Tech, Omaha, NE

Job Summary: 

  • Develops systems for the maintenance of the business’s data warehouse, ETL processes, and business intelligence.
  • Provide day-to-day support for the data warehouse and troubleshoot existing procedures and processes.
  • Define and promote best practices and design principles for data warehousing techniques and architecture.
  • Work with IT and other business partners to identify requirements and design enhancements to data warehouse infrastructure.
  • Process and clean data from structured and unstructured sources.
  • Create and manage internal and customer-facing dashboards and reports.
  • Limited management responsibilities and customer interactions.
  • Develop and prepare a schedule for a new data warehouse
  • Analyze large databases and recommend appropriate optimization for the same
  • Administer all requirements and design various functional specifications for data
  • Provide support to the Software Development Life cycle


Skills on Resume: 

  • Data Warehouse Maintenance (Hard Skills)
  • Day-to-Day Support (Soft Skills)
  • Best Practices Definition (Hard Skills)
  • Requirement Identification (Soft Skills)
  • Data Processing (Hard Skills)
  • Dashboard Management (Hard Skills)
  • Scheduling (Soft Skills)
  • Database Analysis (Hard Skills)

13. Data Warehouse Engineer, Xi Software, Hartford, CT

Job Summary: 

  • Building data pipelines from several business applications
  • Collaborate with business stakeholders to identify and meet data requirements.
  • Use design patterns and adherence to code quality metrics
  • Uses software code management tools and processes to ensure code traceability and good governance.
  • Conducts code reviews with other team members (either internal or external service providers)
  • Makes continuous improvement to coding and test practices across applications
  • Works in DevOps team which uses continuous development, integration and testing with automated releases to lower and higher environments with application monitoring plus supporting the product
  • Performing root cause analysis on all data and processes to answer specific questions and identify opportunities for improvement.
  • Participates in recommending emerging technologies and application solutions
  • Support the development and validation required through the lifecycle of the data warehouse and Business Intelligence systems, maintain user connectivity, and provide adequate security for data warehouse
  • Monitor the data warehouse and BI systems performance and integrity and provide corrective and preventative maintenance


Skills on Resume: 

  • Data Pipeline Building (Hard Skills)
  • Stakeholder Collaboration (Soft Skills)
  • Code Quality Metrics (Hard Skills)
  • Code Governance (Hard Skills)
  • Code Review (Soft Skills)
  • Continuous Improvement (Soft Skills)
  • DevOps Practices (Hard Skills)
  • Root Cause Analysis (Hard Skills)

14. Data Warehouse Engineer, Omicron Systems, Boise, ID

Job Summary: 

  • Technical analysis of BI/DW Problems and builds a strong platform for Data Analytics using ML/AI capabilities.
  • Work with stakeholders throughout the organization to identify opportunities for leveraging company data to drive business solutions
  • Mine and analyze data from company databases to drive optimization and improvement of product development, marketing techniques and business strategies
  • Assess the effectiveness and accuracy of new data sources and data-gathering techniques
  • Use predictive modeling to increase and optimize customer experiences, revenue generation, ad targeting and other business outcomes
  • Develop processes and tools to monitor and analyze model performance and data accuracy
  • Participates in requirements and solution design activities with customers, coordinates test case development, user acceptance testing and business approvals for the development lifecycle
  • Based on data findings and trends, make recommendations for improvements, standardization, consolidation of reports to common layouts for supportability/usability, and determine ways to optimize information generation and distribution
  • Prioritize and track application or report enhancement requests with the business globally
  • Development of validation programs to ensure that data quality control standards are achieved. 
  • Performs data integrity checks, reports anomalies, and communicates findings with support teams for resolution


Skills on Resume: 

  • Technical Analysis (Hard Skills)
  • Stakeholder Engagement (Soft Skills)
  • Data Mining (Hard Skills)
  • Source Assessment (Hard Skills)
  • Predictive Modeling (Hard Skills)
  • Performance Monitoring (Hard Skills)
  • Recommendations Development (Soft Skills)
  • Data Quality Control (Hard Skills)