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Data Warehousing Jobs (NOW HIRING)

Apex Informatics

Data Warehouse Developer

New York, NY · On-site

$54 - $73.75/hr

Data Warehousing expert Sourcing data, transforming data, star schema, landing, dimensions, data governance, data quality, running cycles, computing storage Enterprise-scale experience Has built ...

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Data Warehousing information

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 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 skills are needed for data warehousing?

Data warehousing professionals need strong skills in database management, SQL, and data modeling. Knowledge of ETL (Extract, Transform, Load) processes, data integration tools, and familiarity with cloud platforms like AWS or Azure are also important. Additionally, analytical skills and understanding of business intelligence concepts enhance effectiveness in this role.

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.

What does a data warehouse do?

A data warehousing professional manages the design, development, and maintenance of data warehouses, which are centralized systems that store large volumes of integrated data from multiple sources. Their role involves data modeling, ETL (extract, transform, load) processes, and ensuring data quality to support business intelligence and analytics. Skills in SQL, data modeling, and tools like Tableau or Power BI are often essential in this field.

What are data warehouse jobs?

Data warehouse jobs involve designing, developing, and maintaining data storage systems that aggregate and organize large volumes of data for analysis and reporting. These roles typically require skills in SQL, data modeling, ETL processes, and familiarity with tools like Amazon Redshift, Snowflake, or Microsoft SQL Server. Professionals in this field support business intelligence and decision-making processes by ensuring data accuracy and accessibility.

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 the highest paying job in a warehouse?

In data warehousing, the highest paying roles are typically senior data architects or data engineering managers, who oversee data infrastructure and strategy. These positions often require advanced skills in database systems, cloud platforms, and data modeling, and they can command salaries significantly higher than entry-level or operational roles.
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Data Warehousing jobs near you

Data Warehouse Architect(Teradata

US IT Solutions Inc

Lansing, MI • On-site

Full-time

Posted 24 days ago

Job description

Company Description

We are from US IT Solutions, an ISO Certified, E-Verify, WMBE Certified organization established in 2005 in CA. Our company is serving various State, Local and County Departments for over 10 years. USITSOL has been helping clients innovate across all phases of the application lifecycle for over a decade. Some of our prestigious clients are State of CA, State of OR, State of FL, State of NC, State of GA, State of CO, State of VA, State of AR, State of MI, State of OH, State of IL, State of MO, State of MS, California State University, Sacramento Area Sanitation Department, SMUD, Sound Transit, LA Superior Courts, District of Columbia, UMAS, University of Central Florida and Hennepin County and many more.

Job Description

Short Description:-

Designs, implements and supports data warehousing in a Teradata database environment. The position has responsibility for data base planning, development, administration and maintenance/ETL of the Client's data warehouse.

 Complete Description:

Years of Experience:

5 or more years of Teradata physical modeling and indexing techniques.


Qualifications



Job Description:

Relies on experience and judgment to plan and accomplish goals, independently performs a variety of complicated tasks, a wide degree of creativity and latitude is expected.Designs, implements and supports data warehousing. Implements business rules via stored procedures, middleware, or other technologies. Defines user interfaces and functional specifications. Responsible for verifying accuracy of data, and the maintenance and support of the data warehouse. Knowledge of data warehouse end-to-end implementation processes, from business requirement logical modeling, physical database design, ETL, end-user tools, database, SQL, performance tuning. Demonstrated problem resolution skills with team of persons, and strong leadership with implementation team Experience in data warehouse design and data modeling (both relational and dimensional) and development and maintenance of multi-dimensional data models. Development experience in implementation of data warehousing utilizing RDBMS. Understanding of data warehouse Metadata concepts, tools and different data warehouse methodologies. Expertise in SQL and proficiency in database tuning techniques. Responsible for the ongoing architecture and design of the data warehouse, data mart, and reporting environments. Develop strategies for flexibility and scalability, and define the future technical architecture direction for the business intelligence reporting physical environment.

Responsible for proper selection of appropriate hardware, software, tools and system lifecycle techniques for the different components of the end-to-end data warehouse architecture including ETL, metadata, data profiling software, database platform, performance monitoring, reporting and analytic tools. Defining and documenting the technical architecture of the data warehouse, including the physical components and their functionality. Setting or enforcing standards and overall architecture for data warehouse systems. Monitoring the data warehousing industry and assisting in establishing the organization's data warehousing strategy and section of strategic warehousing tools and techniques. Ensuring compatibility of the different components of the DW architecture and ensuring alignment with broader IT strategies and goals. Ability to educate the project teams on the standards and architecture of each component of the data warehouse architecture. Very strong written and oral communication skills, including some presentation skills.



Additional Information

Applicant must be a Delaware Licensed plumber.

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