SENIOR DATA WAREHOUSE ENGINEER SKILLS, EXPERIENCE, AND JOB REQUIREMENTS
Updated: Mai 21, 2025 - The Senior Data Warehouse Engineer has extensive experience building data pipelines on cloud data warehouses, showcasing advanced skills in real-time and batch processing, SQL, and data analysis. This role requires expertise in RDBMS, data warehousing methodologies, and cloud platforms like Google Cloud and AWS, focusing on ETL processes with tools such as DataProc, DataFlow, and Apache Airflow. Strong project ownership drives completion, supported by proficiency in BI tools like Looker and familiarity with Python or Java, along with excellent communication skills for conveying business concepts to teams.
Essential Hard and Soft Skills for a Standout Senior Data Warehouse Engineer Resume
- SQL
- Data Modeling
- ETL Processes
- Data Warehousing
- Cloud Platforms
- Data Integration
- Performance Tuning
- Data Governance
- Database Management
- Big Data Technologies
- Problem-Solving
- Communication
- Team Collaboration
- Critical Thinking
- Adaptability
- Time Management
- Attention to Detail
- Project Management
- Leadership
- Analytical Thinking
Summary of Senior Data Warehouse Engineer Knowledge and Qualifications on Resume
1. BS in Information Technology with 9 years of Experience
- ETL experience using SQL Server SSIS 2008r2-2016, and experience with T-SQL programming.
- Must exhibit a high level of mastery of the Microsoft BI Stack, including SSIS, SSRS, SSAS, SharePoint, PowerPivot, etc.
- Must understand Relational and Dimensional database modeling.
- Experience in automated file handling with ETL tools via FTP and other means.
- Should have administrative experience with SQL Server 2008-2016.
- Experience with Java or .NET development, C#, ASP.NET, scripting languages, and website operations
- Experience with key concepts of Data Management such as Data Quality and MDM.
- Be willing and capable of adopting new technologies and paradigms such as Big Data technologies (Hadoop, hive, etc.), event-based analytics, etc.
- Experience with analytic tools such as Spotfire, SAS, Cognos, and Microsoft BI.
- TFS and Agile working experience (SCRUM).
- Good working knowledge of Windows/Enterprise Systems/Networking/Enterprise Security
- Must be able to obtain and maintain Nevada Gaming Control Board Registration and any other certification or license, as required by law or policy.
2. BS in Computer Engineering with 7 years of Experience
- A proven track record of designing, building, testing, monitoring and managing large-scale data products, pipelines, tooling and platforms.
- Strong experience working in SQL.
- A thorough understanding of at least one programming language (Python preferred).
- Experience working with cloud-based data solutions (preferably utilizing GCP).
- A detailed understanding of data engineering principles and frameworks
- A proven ability to evaluate various options concerning data modeling, data pipelines, warehousing and storage layers.
- Comfortable working in an agile software development environment with regular release cycles
- Experience in pair programming, CI/CD and deployment strategies.
- Experience in streaming ETL solutions utilizing streaming data processing tools
- Exposure to infrastructure as code processes and tools
- Experience with data lineage tools and frameworks
3. BS in Data Science with 8 years of Experience
- Experience as a data warehouse engineer/architect designing and deploying data systems in a startup environment
- Mastery of database and data warehouse methodologies and techniques from transactional databases to dimensional data modeling, to wide denormalized datamarts
- Deep understanding of SQL-based Big Data systems and experience with modern ETL tools
- Expertise in designing data warehouses using Google Big Query
- Fluency in different SQL techniques for data transformation and data analysis
- Experience developing data pipelines in Python
- Familiarity with software engineering best practices as they apply to the data engineering domain
- Excellent verbal and written communication skills.
- Outstanding analytical and problem-solving skills.
- Self-motivated with the ability to perform under tight deadlines and high pressure.
- Be open-minded, confident working in a multicultural environment, and eager to use English skills every day.
4. BS in Management Information Systems with 6 years of Experience
- Proven experience with Microsoft SQL Server stack
- Knowledge of relational database platforms, SQL and SQL Server Data Tools (SSDT) including SSIS (or Data factory) and SSAS (or Azure Analysis services).
- Experience working in T-SQL language syntax
- Experience in cloud technologies (Microsoft Azure or AWS)
- Knowledge of complex data flows through dedicated Integration tools like Azure Data Factory, Databricks or SSIS
- Experience in working with large data sets
- Familiarity with logical and conceptual data models
- Working experience with Enterprise applications (ERP, CRM, WMS, etc.) and Data Warehouse environments
- Have Azure Data Engineer certificate (or equivalent)
- Clear mind, with good business requirement understanding, analysis, abstraction and system design capabilities.
5. BS in Computer Science with 10 years of Experience
- Experience in building data pipelines on cloud data warehouses
- Industry experience building and productionalizing data pipelines
- Advanced knowledge of databases, real-time and batch data pipelines, SQL and data analysis
- Expert experience with RDBMS and SQL, Data Warehousing methodologies
- Prior experience with Google Cloud Platform or AWS or related cloud services specifically around ETL (DataProc (ApacheSpark), DataFlow (Apache Beam), Airflow and DBT or DataForm)
- Experience with Kafka or other streaming pipelines
- Ability and desire to take full ownership of projects, driving them forward to completion
- Exposure to BI tools (e.g. Looker preferred, Metabase & Tableau)
- Familiarity with Python/Java and willingness to learn to gain proficiency
- Experience with Apache Airflow or related workflow scheduling products
- Prior experience with Data Observability Tools (e.g. Monte Carlo)
- Excellent verbal and written skills to effectively communicate business concepts to partner analysts and teams