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Etl developer skills for your resume and career

Updated January 8, 2025
4 min read
Etl developer example skills
Below we've compiled a list of the most critical etl developer skills. We ranked the top skills for etl developers based on the percentage of resumes they appeared on. For example, 6.6% of etl developer resumes contained sql server as a skill. Continue reading to find out what skills an etl developer needs to be successful in the workplace.

15 etl developer skills for your resume and career

1. SQL Server

Here's how etl developers use sql server:
  • Worked on performance monitor counters for monitoring SQL Server environment.
  • Generated detailed reporting using SQL Server Reporting Services.

2. 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 developers use data warehouse:
  • Involved in implementing star schema for the data warehouse using Erwin for Logical/Physical data modeling and Dimensional Data Modeling.
  • Implemented Surrogate key functionality for newly inserted rows in Data warehouse which made data availability more convenient.

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 developers use unix:
  • Developed application using UNIX operating system including scripting.
  • Worked with UNIX scripts to perform the purge on the table and to do the automation on refreshing the materialized views.

4. Data Analysis

Here's how etl developers use data analysis:
  • Performed initial data analysis on service requests from business clients and provided a detailed analysis report using Excel Pivot tables.
  • Worked on data analysis understanding source systems thoroughly, designing transformation maps and performing change control management and impact analysis.

5. BI

Here's how etl developers use bi:
  • Participated in remote reporting and regular technical conferences to present process feedback and update BI solution development schedule.
  • Implemented a Data Warehouse on SQL 2005 Server Analysis Services by creating several cubes in support of BI applications and reports.

6. Data Quality

Here's how etl developers use data quality:
  • Perform analysis profiling on existing data and identify root causes for data inaccuracies, Impact Analysis and recommendation of Data Quality.
  • Designed and developed daily audit and daily/weekly reconcile process ensuring the data quality of the Data warehouse.

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7. Informatica Powercenter

Here's how etl developers use informatica powercenter:
  • Extracted data from source systems and transformed according to business requirements using Informatica PowerCenter and loaded into Oracle Data Mart.
  • Created various active and passive transformations to support voluminous loading of data target table using Informatica PowerCenter.

8. Load Data

Loading data in the computing world is a part of the ETL (Extract, Transform and Load) process, which essentially involves copying data from an SQL or other source(s) into a system that gives more insight into the data or displays it differently.

Here's how etl developers use load data:
  • Developed generic way to load data Historical Data.
  • Created mappings to load data extracted from other SQL like SQL Server, Oracle to staging area using SQL Server SSIS.

9. Java

Java is a widely-known programming language that was invented in 1995 and is owned by Oracle. It is a server-side language that was created to let app developers "write once, run anywhere". It is easy and simple to learn and use and is powerful, fast, and secure. This object-oriented programming language lets the code be reused that automatically lowers the development cost. Java is specially used for android apps, web and application servers, games, database connections, etc. This programming language is closely related to C++ making it easier for the users to switch between the two.

Here's how etl developers use java:
  • Analyzed requirements from Business Analysts and studied the existing functionality of the Java application.
  • Worked extensively with Java Frameworks.

10. Data Warehousing

Here's how etl developers use data warehousing:
  • Managed star schema/snowflake data warehousing projects for medium and large corporations in diverse industries.
  • Developed a deep understanding of relational concepts and data warehousing techniques.

11. Informatica Workflow

Here's how etl developers use informatica workflow:
  • Created sessions, database connections and batches using Informatica WorkflowManager.
  • Monitored incremental and full load of data through Data Warehouse Administration Console (DAC) and Informatica WorkFlow Monitor.

12. Extraction

Here's how etl developers use extraction:
  • Created Technical Design specification documents for data extraction, transformation and loading by interacting with client and understanding the business requirements.
  • Developed JOB using DataStage for Data Cleansing, Extraction and Transformation and implemented automated auditing job to validate data after loading.

13. PL/SQL

Here's how etl developers use pl/sql:
  • Designed and developed PL/SQL functions/ stored procedures/ cursors/ triggers/ packages.
  • Developed PL/SQL stored procedures used by front-end and middle-tier developers.

14. Data Lake

Here's how etl developers use data lake:
  • Retail JDE processing: Created a Data Lake for Big Data Analytics using Hortonworks platform.

15. 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 developers use toad:
  • Used Toad extensively for query optimization.
  • Experience in extracting data from a wide range of sources such as flat files, oracle and query processing using TOAD.
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List of etl developer skills to add to your resume

Etl developer skills

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

  • SQL Server
  • Data Warehouse
  • Unix
  • Data Analysis
  • BI
  • Data Quality
  • Informatica Powercenter
  • Load Data
  • Java
  • Data Warehousing
  • Informatica Workflow
  • Extraction
  • PL/SQL
  • Data Lake
  • Toad
  • Repository
  • Teradata
  • Profiling
  • T-SQL
  • DB2
  • Source Systems
  • DataStage
  • SSRS
  • Schema
  • Data Marts
  • Linux
  • SDLC
  • Ssis Packages
  • XML
  • Oracle Sql
  • Test Cases
  • Windows XP
  • Technical Specifications
  • Aggregator
  • QA
  • Business Analysts
  • Business Rules
  • Source Data
  • Data Models
  • OLAP
  • Debugging
  • Data Flow
  • Informatica Mappings
  • UAT
  • EDW
  • SSAS
  • Strong Analytical

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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