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Etl architect skills for your resume and career

Updated January 8, 2025
5 min read
Quoted experts
Michael Brazley Ph.D.,
Clyde Eiríkur Hull
Below we've compiled a list of the most critical etl architect skills. We ranked the top skills for etl architects based on the percentage of resumes they appeared on. For example, 7.0% of etl architect resumes contained data warehouse as a skill. Continue reading to find out what skills an etl architect needs to be successful in the workplace.

15 etl architect skills for your resume and career

1. Data Warehouse

Data warehouse, often abbreviated as either DW or DWH is a system used in computing for data analysis as well reporting. The DW is also considered to be an integral component of business intelligence as they also provide storage facilities for both real-time and historical data. ETL and ELT are the two driving forces behind a data warehouse system.

Here's how etl architects use data warehouse:
  • Designed normalized Data warehouse environment for the enterprise level applications and Data marts for the credit card usage Analysis and applications.
  • Lead programmer on implementation of packaged data warehouse solution for customer relationship management and supply chain management modules.

2. Microsoft SQL Server

Here's how etl architects use microsoft sql server:
  • Design and developed cubes using SQL Server Analysis Services in Microsoft SQL Server 2014.
  • Prepared some reusable components for Data Validation and Referential Integrity checks for each module using Microsoft SQL Server Database Stored Procedures.

3. Data Architecture

Here's how etl architects use data architecture:
  • Developed FRD (Functional requirement Document) and data architecture document and communicated with the concerned stakeholders.
  • Involved in data architecture and data modeling discussion, decision-making, and implementation sessions.

4. BI

Here's how etl architects use bi:
  • Communicate with different business units stakeholders and understand their BI reporting requirement.
  • Evaluated and recommended the Microsoft BI stack for the physical implementation of the database engine, ETL, and reporting tools.

5. Data Analysis

Here's how etl architects use data analysis:
  • Performed source data analysis to identify business rules for building Operational Data Source.
  • Design and build new data aggregations for ongoing data analysis and statistical modeling.

6. Unix

UNIX is a computer operating system that was first created in the 1960s and has been constantly updated since then. The operating system refers to the set of programs that enable a machine to function. It is a multi-user, multi-tasking device that works on computers, laptops, and servers. UNIX systems also have a graphical user interface (GUI), similar to Microsoft Windows, that makes it simple to use.

Here's how etl architects use unix:
  • Created Custom Wrapper Stage and used UNIX shell scripts to utilize the DataStage Parallel engine to handle large volumes of data.
  • Designed Batch Validations using UNIX shell scripts and added data validation checks including business rules and referential integrity checks.

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7. Data Quality

Here's how etl architects use data quality:
  • Worked closely with company executives and reporting team for solving problems with data quality and timely publication of daily reports.
  • Supported the Data Quality and Analysis Framework implementation from requirements to design and implementation.

8. Extract Data

Here's how etl architects use extract data:
  • Created Stored procedures to extract Data from Oracle Reporting DB for daily batch purposes.
  • Developed ETL mappings to extract data from Oracle and SQL server sources.

9. Data Flow

Here's how etl architects use data flow:
  • Mentor ETL developers on high level data flows, source system data profiling, mapping documents, and coding best practices.
  • Developed an architecture document and designed data models and a data flow processes to support the reporting needs.

10. Repository

Here's how etl architects use repository:
  • Installed PowerCenter server, configured and setup repository and Integration services, administered entire EDW PowerCenter domain.
  • Involved in migration of ETL code from development repository to testing repository and then to production repository.

11. Data Warehousing

Here's how etl architects use data warehousing:
  • Received training and implemented complex solutions to implement Near real time data warehousing.
  • Involved in designing the process for getting the data from all systems to Data Warehousing systems.

12. Source Systems

Here's how etl architects use source systems:
  • Created data mappings as per business rules to move data from Shell SIRAS and GSAP source Systems to GFN system.
  • Identified Golden Record for Customer and Product data by analyzing duplicate records coming from different source systems.

13. Ssis

SSIC stands for Singapore Standard Industrial Classification. It is a national standard for classifying economic activities such as population censuses, household and business surveys, financial databases etc.

Here's how etl architects use ssis:
  • Modified/created new SSIS packages to import/export data from different databases/file systems.
  • Developed complex T-SQL queries, stored procedures, temporary tables and designed SSIS packages for data cleansing, transformation and loading.

14. Teradata

Here's how etl architects use teradata:
  • Worked on developing of Teradata stored procedures.
  • Unload the data from Teradata using input table component with FAST export option and loaded the data using output table component.

15. EDW

Here's how etl architects use edw:
  • Led ETL-conversion effort of Teradata-to-Oracle migration of Regional EDW.
  • Designed change-data-capture (CDC) processes to identify changed data for load into the EDW from the ODS.
top-skills

What skills help ETL Architects find jobs?

Tell us what job you are looking for, we’ll show you what skills employers want.

What etl architect skills would you recommend for someone trying to advance their career?

Michael Brazley Ph.D.Michael Brazley Ph.D. LinkedIn profile

Associate Professor of Architecture, Southern Illinois University Carbondale

Architectural Graduates will have to have very strong computer skills; not just in drawing but in writing also. Graduates will need to know the latest software, and in many cases, help to introduce the latest software to their new companies. Students are learning to make 3D digital videos and virtual reality models.

What type of skills will young etl architects need?

Clyde Eiríkur HullClyde Eiríkur Hull LinkedIn profile

Professor of Strategic Management, Rochester Institute of Technology

Graduates entering the workforce now and in the future will need to be comfortable in a digital workplace. Working digitally, whether in an established company or as a digital entrepreneur, was a growing trend before the pandemic, but it was pushing against a lot of inertia. That inertia has switched. Anything that works better, for the employer, digitally instead of in person is going to stay. Even if you aren't working remotely, you'll deal with many people who are. Graduates will need to be more capable of independent work, whether in virtual teams or on their own. But at the same time, interpersonal skills are going to become more important. People aren't interacting as much as they did, so their human skills are rusting. Anyone with polished interpersonal skills is going to stand out more.
Do you want to know more?
Read more about what experts have to say about etl architect

List of etl architect skills to add to your resume

Etl architect skills

The most important skills for an etl architect resume and required skills for an etl architect to have include:

  • Data Warehouse
  • Microsoft SQL Server
  • Data Architecture
  • BI
  • Data Analysis
  • Unix
  • Data Quality
  • Extract Data
  • Data Flow
  • Repository
  • Data Warehousing
  • Source Systems
  • Ssis
  • Teradata
  • EDW
  • DB2
  • PL/SQL
  • QA
  • Hadoop
  • Snowflake
  • Informatica Powercenter
  • SDLC
  • Extraction
  • DB
  • Java
  • Azure
  • Profiling
  • Linux
  • Schema
  • Source Data
  • Netezza
  • Logical Data Model
  • MDM
  • XML
  • Code Reviews
  • Data Lake
  • Enterprise Architecture
  • Business Rules
  • Error Handling
  • Datastage ETL
  • UAT
  • Toad
  • Business Analysts
  • Oracle 11G
  • Data Marts
  • Functional Specifications
  • SAS
  • Sybase
  • Operational Data Store

Updated January 8, 2025

Zippia Research Team
Zippia Team

Editorial Staff

The Zippia Research Team has spent countless hours reviewing resumes, job postings, and government data to determine what goes into getting a job in each phase of life. Professional writers and data scientists comprise the Zippia Research Team.

Updated January 8, 2025

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