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Etl tester skills for your resume and career

Updated January 8, 2025
4 min read
Etl tester example skills
Below we've compiled a list of the most critical etl tester skills. We ranked the top skills for etl testers based on the percentage of resumes they appeared on. For example, 7.5% of etl tester resumes contained test cases as a skill. Continue reading to find out what skills an etl tester needs to be successful in the workplace.

15 etl tester skills for your resume and career

1. Test Cases

Here's how etl testers use test cases:
  • Analyzed business requirements, use cases and technical specifications for scripting comprehensive test cases.
  • Analyzed Business requirement document to understand the Business process and prepared test cases.

2. Test Plan

Here's how etl testers use test plan:
  • Prepare test Plan and testing strategies documents for data warehousing application including manual test plans/scenarios/relevant data using standard IT standards.
  • Developed Test Plans/Test Cases to Validate Key Business Requirements based on the report specification document.

3. 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 testers use unix:
  • Used PMCMD command to start, stop and ping server from UNIX and created UNIX Shell scripts to automate the process.
  • Tested several UNIX Shell Scripts and PERL scripts for data loading, data parsing, file manipulation and text processing needs.

4. SQL Server

Here's how etl testers use sql server:
  • Experience in Data Migration, Database Transferring and related objects in SQL Server from one server into other Remote servers.
  • Validated Audit tables and triggers created on SQL server side to find the incremental data for the policy data mart.

5. Test Scripts

Test scripts validate the quality of the software or app being tested. An effective test script has all the steps to be taken to use a software program as well as the ending result of each step.

Here's how etl testers use test scripts:
  • Prepared and executed automated test scripts as per the business requirements and Requirements specifications Document.
  • Prepared manual test scripts covering different scenarios and documented in Mercury Quality center.

6. QA

QA, or Quality Assurance is a procedure that entails all of the steps taken to avoid any errors in the manufacturing process or in the production of the goods that a company produces. It can also include ensuring the consistency of the services rendered. Quality assurance ensures that the quality of the service delivered to consumers meets or exceeds the promised expectations. This greatly aids in the prevention of any complications that might arise after the goods or services have been distributed. It makes sure that customers are satisfied.

Here's how etl testers use qa:
  • Documented Defects found during test on the Quality center and communicated, recorded problems to the responsible QA or development personnel.
  • Mentored and leads the QA team members in the review of requirements, technical designs, test cases and defect tracking.

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7. PL/SQL

Here's how etl testers use pl/sql:
  • Validated PL/SQL stored Procedures used for customers placing regular orders.
  • Performed the Back-End testing to verify and validate data consistency by writing and executing Oracle PL/SQL queries on the database.

8. Toad

Toad is software that manages non-relational and relational databases that database analysts, developers, and database administrators use. Toad helps in minimizing the cuts in delivery timelines of projects. It also helps in maximizing the investment made by users in the field of data technology by automating all the processes.

Here's how etl testers use toad:
  • Used Quest Software's Toad application to set up data, create, and execute SQL script on Oracle 11g database.
  • Used TOAD schema browser to check the characteristics of the schema objects (tables, synonyms etc).

9. 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 testers use data warehouse:
  • Performed extensive data validation against Data warehouse.
  • Handled SCD Type 1/ Type 2 to populate current and historical data to Dimensions and Fact tables in the data warehouse.

10. Test Data

Here's how etl testers use test data:
  • Managed Lower Environments for testing availability and Test Data Preparation.
  • Identifying/created test data that covers identified test scenarios.

11. Data Validation

Data validation is the process of reviewing and arranging data for efficient data analysis. Data validation includes checking data accuracy, quality of data source, and identifying the importance or relevance of the data.

Here's how etl testers use data validation:
  • Performed browser compatibility testing on different platforms and data validations for all reports.
  • Tested several data validation jobs developed in Data Stage environment.

12. Regression

Here's how etl testers use regression:
  • Prepared Automation Testing Framework for reducing manual intervention to zero for performing Smoke, Functional or Regression testing.
  • Performed system testing, regression testing, integration testing and documented results using Quality Center.

13. Informatica ETL

Here's how etl testers use informatica etl:
  • Tested graphs for extracting, cleansing, transforming, integrating, and loading data using Informatica ETL Tool.
  • Validated Informatica ETL processes to load data through the Staging layer into EDW.

14. Test Results

Here's how etl testers use test results:
  • Conducted variance management by analyzing and verifying test results, providing status and progress reports using Quality Center.
  • Worked with Release coordinators in ensuring timely delivery of test environments and test results.

15. UAT

UAT stands for user acceptance testing, and it is the last phase in the software testing process that determines whether the software is fit for the purpose it was built or not. UAT checks two main things; whether the software fulfills the business requirements and can it be used by the end-users. It is the final and most critical step in the testing stages and it determines whether the software should be introduced in the market or not.

Here's how etl testers use uat:
  • Facilitated UAT readiness meetings and Production readiness meeting to mitigate issues and outline defect deferral process to facilitate progress.
  • Assisted with UAT(User Acceptance Testing) activities and execute connectivity tests with interfacing applications along with the end users.
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List of etl tester skills to add to your resume

Etl tester skills

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

  • Test Cases
  • Test Plan
  • Unix
  • SQL Server
  • Test Scripts
  • QA
  • PL/SQL
  • Toad
  • Data Warehouse
  • Test Data
  • Data Validation
  • Regression
  • Informatica ETL
  • Test Results
  • UAT
  • Data Quality
  • Extraction
  • End Testing
  • Test Strategy
  • Business Rules
  • Windows XP
  • BI
  • Cognos
  • Test Scenarios
  • Data Analysis
  • Data Integrity
  • User Acceptance
  • Jira
  • Ssis
  • Java
  • Status Reports
  • QC
  • ETL Processes
  • UI
  • Oracle Sql
  • Business Analysts
  • SDLC
  • HP Quality
  • Data Warehousing
  • Teradata SQL
  • Source Data
  • Business Analysis
  • Schema
  • Backend Testing
  • Autosys
  • End-To-End Testing
  • Source Systems
  • GUI

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.

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