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Etl architect vs data warehouse developer

The differences between etl architects and data warehouse developers can be seen in a few details. Each job has different responsibilities and duties. It typically takes 2-4 years to become both an etl architect and a data warehouse developer. Additionally, an etl architect has an average salary of $105,901, which is higher than the $93,381 average annual salary of a data warehouse developer.

The top three skills for an etl architect include data warehouse, microsoft sql server and data architecture. The most important skills for a data warehouse developer are ETL, java, and hadoop.

Etl architect vs data warehouse developer overview

ETL ArchitectData Warehouse Developer
Yearly salary$105,901$93,381
Hourly rate$50.91$44.89
Growth rate21%21%
Number of jobs81,513194,780
Job satisfaction--
Most common degreeBachelor's Degree, 69%Bachelor's Degree, 68%
Average age3939
Years of experience44

Etl architect vs data warehouse developer salary

Etl architects and data warehouse developers have different pay scales, as shown below.

ETL ArchitectData Warehouse Developer
Average salary$105,901$93,381
Salary rangeBetween $81,000 And $136,000Between $72,000 And $120,000
Highest paying CitySan Francisco, CASan Francisco, CA
Highest paying stateWashingtonCalifornia
Best paying companyNetflixThe Citadel
Best paying industryInsuranceInsurance

Differences between etl architect and data warehouse developer education

There are a few differences between an etl architect and a data warehouse developer in terms of educational background:

ETL ArchitectData Warehouse Developer
Most common degreeBachelor's Degree, 69%Bachelor's Degree, 68%
Most common majorComputer ScienceComputer Science
Most common collegeCalifornia State University - Long BeachMassachusetts Institute of Technology

Etl architect vs data warehouse developer demographics

Here are the differences between etl architects' and data warehouse developers' demographics:

ETL ArchitectData Warehouse Developer
Average age3939
Gender ratioMale, 82.6% Female, 17.4%Male, 68.4% Female, 31.6%
Race ratioBlack or African American, 4.1% Unknown, 4.7% Hispanic or Latino, 7.8% Asian, 37.5% White, 45.6% American Indian and Alaska Native, 0.2%Black or African American, 4.4% Unknown, 4.8% Hispanic or Latino, 8.1% Asian, 30.0% White, 52.6% American Indian and Alaska Native, 0.2%
LGBT Percentage8%8%

Differences between etl architect and data warehouse developer duties and responsibilities

Etl architect example responsibilities.

  • Manage and execute various BO reporting projects within organization.
  • Create a JAVA application to handle the Informatica workflow restart-ability.
  • Support migration of ETL code from development to QA and then from QA to production.
  • Perform unit testing, negative testing and then hand over the data to QA team.
  • Conduct code and performance tuning reviews for AbInitio graphs, UNIX/Perl scripts and PL/SQL store procedures.
  • Create PL/SQL packages, procedures and functions to implement the business logic and for history fix.
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Data warehouse developer example responsibilities.

  • Help in set up the SharePoint server, deploy reports and create, manage subscriptions and data driven subscriptions.
  • Achieve significant performance improvement in reducing response time of queries by rewriting and tuning SQL statements embed in PhP code.
  • Develop MapReduce jobs in Java API to parse the raw data and store the refined data.
  • Shell scripting, Linux administration, and Perl language support.
  • Develop, modify and execute Perl and MySQL scripts from Linux command line.
  • Liaise with QA in deploying ETL flows and reports into their environments and attend defect calls.
  • Show more

Etl architect vs data warehouse developer skills

Common etl architect skills
  • Data Warehouse, 7%
  • Microsoft SQL Server, 5%
  • Data Architecture, 4%
  • BI, 4%
  • Data Analysis, 4%
  • Unix, 4%
Common data warehouse developer skills
  • ETL, 8%
  • Java, 7%
  • Hadoop, 6%
  • Data Warehouse, 6%
  • Visualization, 5%
  • Data Analysis, 5%

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