Data Warehouse Engineer

Data Warehouse Engineer Resume Keywords and Skills (Hard Skills)

Here are the keywords and skills that appear most frequently on recent Data Warehouse Engineer job postings. In other words, these are the most sought after skills by recruiters and hiring managers. Go to Sample Templates ↓ below to see how to include them on your resume.

Remember that every job is different. Instead of including all keywords on your resume, identify those that are most relevant to the job you're applying to. Use the free Targeted Resume tool to help with this.

Choose a category
  • Data Warehousing
  • Extract, Transform, Load (ETL)
  • SQL Server Integration Services (SSIS)
  • Informatica
  • PL/SQL
  • Data Modeling
  • Microsoft SQL Server
  •  Find out what your resume's missing
  • SQL Server Reporting Services (SSRS)
  • Business Intelligence (BI)
  • SQL
  • Transact-SQL (T-SQL)
  • Databases
  • Software Development Life Cycle (SDLC)
  • Oracle Database
  • SQL Server Analysis Services (SSAS)
  • Requirements Analysis
  • Database Design
  • Hadoop
  • Hive
  • Data Integration

  •   Show full list

Resume Skills: Database

Resume Skills: Big Data Tools

Resume Skills: Programming

Resume Skills: Tools

  • Tableau
  • PowerBI
  • Informatica
  • SAP BusinessObjects
  • SSIS
  • SSAS
  • SSRS
  • Power BI
  • Apache Kafka
  • Git
  • IBM Infosphere
  • Oracle Warehouse Builder
  • Microsoft SSIS
  • Amazon Redshift
  • Google BigQuery
  • PowerCenter
  • SAP BW
  • Oracle OWB
  • IBM DataStage
  •  Match your resume to these skills

Resume Skills: Data Warehousing

Resume Skills: Workflow Management

Resume Skills: Techniques

  Does your resume contain all the right skills? Paste in your resume in the AI Resume Scan ↓ section below and get an instant score.

Compare Your Resume To These Data Warehouse Engineer Skills (ATS Scan)

Paste your resume below and our AI will identify which keywords are missing from your resume from the list above (and what you need to include). Including the right keywords will help you get past Applicant Tracking Systems (i.e. resume screeners) which may scan your resume for keywords to see if you're a match for the job.

Sample Data Warehouse Engineer Resume Examples: How To Include These Skills

Add keywords directly into your resume's work experiences, education or Skills section, like we've shown in the examples below. Use the examples below as inspiration.

Choose a template
Your Name
Data Warehouse Engineer
City, Country  •  (123) 456-789  •  [email protected]  •  linkedin.com/in/your-profile
EXPERIENCE
Resume Worded February 2019 - Present
Senior Data Warehouse Engineer
Revamped data integration strategy with SSIS, leading to a 40% boost in system throughput.
Employed data warehousing techniques to cleanse and standardize datasets, reducing reporting errors by 35%.
Utilized Informatica and Oracle Database to update ETL processes, enhancing report access time by 25%.
Influenced data warehouse design, resulting in 45% improvement in query performance.
Executed comprehensive requirements analysis, leading to the creation of tailored SQL queries and optimizing database accessibility.
Amazon Web Services May 2015 - January2019
Data Warehouse Developer
Implemented 20+ complex SQL and PL/SQL scripts to automate ETL processes, saving 15 hours weekly.
Employed SSIS to transport data across multiple databases, reducing potential for transfer errors by 30%.
Incorporated Transact-SQL (T-SQL) into system queries, speeding up data mining efforts by 20%.
Developed an efficient data model, resulting in a 10% improvement in BI reporting performance.
Microsoft November 2011 - May 2015
ETL Developer
Spearheaded the development and deployment of ETL workflows with SSIS, leading to a 25% increase in the data transfer rate.
Utilized PL/SQL for complex data transformation tasks, ultimately enhancing system productivity by18%.
EDUCATION
Resume Worded University January 2013
Master's in Data Science and Engineering
Focus on Applied Machine Learning and Big Data Analytics
Resume Worded Institute May 2011
Bachelor of Technology - Computer Science
Minors in Mathematics
Awards: Dean's List 2011 (Top 10%)
SKILLS
Programming & Scripting: Python, Java, C#, SQL, Shell script, ETL Tools (Informatica)
Databases: Oracle, PostgreSQL, Amazon Redshift, MySQL, SQL Server
Workflow Management: Jenkins, Bamboo, Airflow, Luigi
Big Data Technologies: Hadoop, Spark, MapReduce, Hive, Pig, Apache Flink, Elasticsearch
OTHER
Certifications: AWS Certified Big Data - Specialty (2021), Oracle Certified Associate (OCA) - Database Administrator (2013)
Courses: Advanced Data Warehouse Design course, Coursera (2018), Advanced Course in Big Data on Cloud, Coursera (2021)
Leadership & Volunteering: Organizer, Resume Worded Tech Talks (Monthly community meetups), Technical Lead, Code For Cause (2016 - 2019)
Projects: Developed a credit risk prediction model using machine learning techniques, Led the data migration project from SQL Server to Redshift for a retail giant
Your Name
Data Warehouse Consultant
City, Country  •  (123) 456-789  •  [email protected]  •  linkedin.com/in/your-profile
EXPERIENCE
Coached.com March 2018 - Present
Lead Data Warehouse Consultant
Lead an initiative for restructuring data pipelines utilizing SQL Server Integration Services (SSIS) and Informatica, boosting operational efficiency by 30%.
Deployed data modeling techniques to optimize data loading processes, resulting in 20% less runtime.
Spearheaded quarterly database design reviews, which decreased latencies by 25%.
Applied industry-standard Business Intelligence (BI) practices, causing an augmentation in reporting accuracy by 35%.
Led a team of 8 members and trained them on Hadoop and Hive technologies.
SAP June 2013 - February 2018
Data Consultant
Implemented SQL Server Analysis Services (SSAS) and SQL Server Reporting Services (SSRS) to automate report generation, cutting production time by 22%.
Updated ETL workflows via Informatica and SQL, improving data accuracy by 20%.
Provided critical input during Requirements Analysis phase, improving compliance rates on completed projects by 15%.
Oracle Corporation July 2010 - June 2013
Data Analyst
Used SQL and T-SQL to automate data extraction tasks, which boosted system performance by 15%.
Played a vital role in SDLC by creating accurate data flow diagrams.
EDUCATION
Resume Worded Academic Center March 2018
Master in Business Analytics
Graduated on the Dean's List (Top 10%)
Resume Worded University June 2013
Bachelor of Science in Computer Science - Data Science Specialization
Thesis: Predictive Analytics using Machine Learning
Awarded Top Performer in Data Structures and Algorithms
SKILLS
Data Warehousing: ETL, Data Mining, OLAP, OLTP, Star Schema
Programming: Python, Java, SQL, PL/SQL, VB.NET, C#
Databases: SAP HANA, Oracle Database, Microsoft SQL Server
BI Tools: Tableau, PowerBI, Informatica, SAP BusinessObjects
OTHER
Certifications: Oracle Certified Expert, Java EE 6 Web Component Developer (2019), Certified Data Management Professional (CDMP) (2021)
Leadership & Volunteering: Project Mentor, Girls Who Code (2016 - Present)
Projects: Developed a predictive modelling system for fleet management in Final Year Project (achieved 90% accuracy)
Publications: Co-authored paper on 'Best Practices in Modern Data Warehousing' in Data Science Journal
Your Name
SQL Server Data Warehouse Engineer
City, Country  •  (123) 456-789  •  [email protected]  •  linkedin.com/in/your-profile
EXPERIENCE
Coached.com March 2017 - Present
Principal SQL Server Data Warehouse Engineer
Designed an advanced SQL Server architecture, reducing server response time by 50%.
Revamped the ETL processes using SSIS and T-SQL, improving data transfer speed by 30%.
Performed data modeling activities, helping reduce storage usage by 25%.
Managed SQL Server Reporting Services (SSRS) for BI solutions, improving report generation speed by 20%.
Utilized cutting-edge data integration frameworks to merge disparate data sources, enhancing overall data quality.
Resume Worded.com April 2014 - February 2017
SQL Server DBA
Performed database design and optimization, leading to a 30% improvement in data retrieval speeds.
Automated routine database tasks using PL/SQL, saving 10 hours weekly.
Managed SQL Server reporting and analysis services, thereby boosting report accuracy by 15%.
IBM September 2009 - March 2014
SQL Developer
Transformed complex datasets with PL/SQL, enhancing system performance by 20%.
Implemented efficient indexes in SQL Server, improving query response time by 25%.
EDUCATION
Resume Worded University August 2013
Master of Science - Database Administration
Thesis: Optimizing SQL Server performance
Resume Worded Academic Center June 2009
Bachelor of Science - Computer Science
Specialization in Database Systems
Awards: Dean’s List 2008 (Top 10%)
SKILLS
Database: SQL Server, Oracle, MySQL, PostgreSQL, MongoDB
Programming Languages: SQL, Python, Java, C#, T-SQL, PL/SQL, R
Tools: SSIS, SSAS, SSRS, Tableau, Power BI, Apache Kafka, Git
Techniques: Data Warehousing, ETL, Data Modeling, Data Mining, Database Design
OTHER
Certifications: Microsoft Certified: Azure Data Engineer Associate (2020), AWS Certified Database - Specialty (2019)
Awards: Recognized as Top Performer in Coached.com (2019, 2020)
Projects: Independent project: Developed an automated data pipeline for a ecommerce website using Python and Azure

How do I add skills to a Data Warehouse Engineer resume?

1
Review the job posting closely.

Go through the Data Warehouse Engineer posting you're applying to, and identify hard skills the company is looking for. For example, skills like Data Warehousing, Informatica and Data Modeling are possible skills. These are skills you should try to include on your resume.

2
Add industry skills like Extract, Transform, Load (ETL) and PL/SQL.

Add other common skills from your industry - such as SQL Server Integration Services (SSIS), SQL Server Reporting Services (SSRS) and Microsoft SQL Server - into your resume if they're relevant.

3
Add skills into your work experience.

Incorporate skills - like Transact-SQL (T-SQL), Hive and Requirements Analysis - into your work experience too. This shows hiring managers that you have practical experience with these tools, techniques and skills.

4
Show evidence of your analytical skills.

Analytical skills involve your ability to break down a problem and come up with effective solutions. On Data Warehouse Engineer resumes, hiring managers want to see evidence of how you analyzed quantitative or qualitative data.

5
Show your ability to analyze data.

In your Data Warehouse Engineer resume, show evidence of where you worked with and analyzed data of all formats, whether they're surveys, spreadsheets or databases. We've highlighted examples in the infographic for reference.

6
Use the exact job title.

Try to add the exact job title, Data Warehouse Engineer, somewhere into your resume to get past resume screeners. See the infographic for how to do this.

Word Cloud for Data Warehouse Engineer Skills & Keywords

The following word cloud highlights the most popular keywords that appear on Data Warehouse Engineer job descriptions. The bigger the word, the more frequently it shows up on employer's job postings. If you have experience with these keywords, include them on your resume.

Top Data Warehouse Engineer Skills and Keywords to Include On Your Resume

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Data Warehouse Engineer Resume Templates

Here are examples of proven resumes in related jobs and industries, approved by experienced hiring managers. Use them as inspiration when you're writing your own resume. You can even download and edit the resume template in Google Docs.

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Frequently Asked Questions

What are the top skills you should add to your Data Warehouse Engineer resume?

Here are some of the most popular skills we see on Data Warehouse Engineer resumes:

  • Data Warehousing
  • Extract, Transform, Load (ETL)
  • SQL Server Integration Services (SSIS)
  • Informatica
  • PL/SQL
  • Data Modeling
  • Microsoft SQL Server
  • SQL Server Reporting Services (SSRS)

Target your Resume to a Job Description

While the keywords above are a good indication of what skills you need on your resume, you should try to find additional keywords that are specific to the job. To do this, use the free Targeted Resume tool. It analyzes the job you are applying to and finds the most important keywords you need on your resume.

It is personalized to your resume, and is the best way to ensure your resume will pass the automated resume filters.

Start targeting your resume

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