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Data Warehousing Jobs (NOW HIRING)

Data Warehousing - Intermediate

Phoenix, AZ · On-site

$49 - $67/hr

Industry Banking and Financial Job Title Data Warehousing - Intermediate Location: 3202 W Behrend Dr., Phoenix, AZ - 85027 Duration 04+ Months (Very High Possibility of Extension) Job Summary:

As the Data Warehousing Administrator, you will manage large scale storage systems, ensuring data integrity, efficient retrieval, and long-term security protections. ESSENTIAL JOB FUNCTIONS

The right candidate would have the following skills: 7-8 years of relational database (SQL, PL/SQL) experience in complex enterprise environment. 7+ years of data warehouse experience using Power BI ...

The right candidate would have the following skills: 7-8 years of relational database (SQL, PL/SQL) experience in complex enterprise environment. • 7+ years of data warehouse experience using Power ...

Strong familiarity with Kimball methodologies of data warehousing * Ability to communicate verbally and in writing with end users and technical users to translate requirements from end users into ...

Strong familiarity with Kimball methodologies of data warehousing * Ability to communicate verbally and in writing with end users and technical users to translate requirements from end users into ...

Five years of proven experience in data warehousing, ETL development, and database management for a large organization * Demonstrated expertise with ETL tools (e.g., Informatica) and business ...

The Data Warehouse Engineer will be responsible for building and maintaining an internal data warehouse, aggregating data from various sources, and enabling business users to answer data-driven ...

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The Data Warehouse Engineer will be responsible for building and maintaining an internal data warehouse, aggregating data from various source systems, and facilitating complex business analyses ...

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Strong understanding of data warehousing concepts * Skill in performance tuning of data systems DESIRED SKILLS * Knowledge of NoSQL databases * Experience with real-time data processing * Familiarity ...

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Data Warehousing information

What are the key skills and qualifications needed to thrive as a Data Warehousing professional, and why are they important?

To thrive in Data Warehousing, you need expertise in data modeling, SQL, ETL processes, and a solid background in computer science or information systems. Familiarity with data warehouse platforms like Amazon Redshift, Snowflake, or Microsoft SQL Server, as well as ETL tools such as Informatica or Talend, and relevant certifications are highly valued. Strong analytical thinking, problem-solving abilities, and effective communication skills help professionals collaborate and deliver actionable insights. These competencies are crucial for ensuring data integrity, optimizing storage solutions, and supporting informed business decisions.

What are the typical challenges faced by professionals in data warehousing roles when integrating data from multiple sources?

Professionals in data warehousing often face challenges such as ensuring data consistency and quality when integrating data from various sources, which may use different formats and standards. Other common hurdles include handling large volumes of data efficiently, maintaining data security and compliance, and managing the complexity of ETL (Extract, Transform, Load) processes. Collaboration with business analysts, IT teams, and data engineers is essential to accurately define requirements and troubleshoot integration issues. Successfully navigating these challenges requires strong problem-solving skills and a solid understanding of both business needs and technical solutions.

What is data warehousing?

Data warehousing is the process of collecting, storing, and managing large volumes of data from different sources in a central repository, called a data warehouse. This centralized storage allows organizations to analyze historical data, generate reports, and make informed business decisions. Data warehouses are optimized for query and analysis rather than transaction processing, and they often use specialized tools and technologies to ensure data is consistent, reliable, and easily accessible for business intelligence purposes.

What is the difference between Data Warehousing vs Data Analyst?

AspectData WarehousingData Analyst
Primary RoleDesigning, building, and managing data storage systemsAnalyzing data to generate insights and reports
Skills & CertificationsSQL, ETL tools, database management, data modelingSQL, data visualization, statistical analysis, Excel
Work EnvironmentData warehouses, database servers, cloud platformsBusiness units, reporting tools, dashboards
Industry UsageIT, data engineering, business intelligenceMarketing, finance, operations, business analysis

While Data Warehousing focuses on creating and maintaining data storage systems, Data Analysts utilize these systems to interpret data and support decision-making. Both roles often collaborate but serve different functions within data management and analysis processes.

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Data Warehousing Specialist

Data Warehousing Specialist

Agelix Consulting

Lakewood, CO • On-site

Full-time

Posted 27 days ago


Job description

Job Summary for Senior Spatial Data Warehousing Specialist
- Lead the design, development, and implementation of data warehouses and data lakes, including geospatial and alphanumeric data.
- Integrate, consolidate, and geospatially enable data to support mapping, reporting, geospatial analysis, and self-service business intelligence (BI) needs.
- Utilize a variety of data warehousing tools and techniques, including traditional and modern data stack approaches, specifically for spatial data.
- Collaborate with project team members and leadership through effective task planning, project management, and coordination.
- Develop proof of concept and prototype reports, dashboards, and maps to help users visualize and analyze warehouse data.
- Support end users in mapping, reporting, and BI activities by publishing and maintaining accessible and reliable data sources.
- Apply advanced data analysis and data presentation skills to demonstrate the business value of spatial data environments.
- Bring at least 5 years of experience in building data warehouses (with spatial data) and developing data visualizations such as dashboards, reports, and maps.