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Netflix Data Warehouse Developer Resume Examples

Photo of Brenna Goyette
Brenna Goyette
Certified Professional Resume Writer, Career Expert

Updated 9 min read

This article will provide readers with a comprehensive guide on how to construct a resume to apply for the position of Data Warehouse Developer at Netflix. It will cover topics such as what information to include, how to present yourself in the best light, and advice on tailoring your resume to the job description. Readers will also receive tips on how to make their resume stand out amongst other applicants and showcase their skills and experience in the most effective way.

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Netflix Data Warehouse Developer Resume Example

Lafern Fosnaugh, Data Warehouse Developer

lafern.fosnaugh@gmail.com

(103) 006-7013

Atlanta, GA

Professional Summary

I am a Data Warehouse Developer with over 3 years of experience in creating and maintaining data warehouses. I have extensive expertise in ETL processes, data modeling, database design, and data analysis. My experience includes working with a variety of database systems, such as Oracle and SQL Server. I am also experienced in developing and deploying ETL packages using SSIS. Additionally, I have experience in data reporting using SSRS and Tableau. I am a highly organized and detail-oriented professional who is committed to delivering quality results on time.

Work Experience

Senior Data Warehouse Developer at Hortonworks, GA

Dec 2022 - Present

  • Developed an ETL pipeline for ingesting data from multiple sources into a Hortonworks HDP cluster with a success rate of 99.9%, resulting in an improved data processing time of 70%.
  • Designed an efficient data lake architecture that incorporated HDFS, Hive and Spark, resulting in a 40% reduction in storage costs.
  • Created an automated data quality framework for validating data accuracy and integrity, resulting in a 10% increase in data accuracy.
  • Implemented a cloud-based analytics platform using Hortonworks Cloudbreak, enabling the team to scale up their data processing capabilities by 200%.

Data Warehouse Developer at Cloudera, GA

Jul 2020 - Nov 2022

  • Developed a data warehouse solution for Cloudera, GA that allowed the organization to store and analyze large datasets of up to 10TB. This resulted in a 25% reduction in query execution time.
  • Constructed an ETL pipeline to migrate legacy data from legacy systems into the new data warehouse. This enabled the company to gain insight into customer behavior and resulted in an increase in customer retention of 10%.
  • Implemented an automated data cleansing process that improved the accuracy of data by 20%.
  • Designed a data warehouse architecture that enabled the organization to scale up the data warehouse to accommodate an additional 5TB of data. This allowed the organization to store more data and improve operational efficiency by 15%.

Education

Bachelor of Science in Data Warehouse Development at Georgia Institute of Technology, Atlanta, GA

Sep 2016 - May 2020

Relevant Coursework: Database Design, Data Modeling, Data Warehousing, Business Intelligence, Data Mining, and Data Visualization.

Skills

  • SQL
  • ETL
  • Data Modeling
  • Business Intelligence
  • Reporting Tools
  • Database Design & Optimization
  • Data Visualization

Certificates

  • Oracle Certified Professional, MySQL 5.7 Database Administrator
  • Microsoft Certified Solutions Expert (MCSE): Data Management and Analytics

Tips for Writing a Better Netflix Data Warehouse Developer Resume

1. Highlight Your Relevant Technical Skills: Make sure to include technical skills that are relevant to the job you are applying for. List any programming languages, databases, and technologies you are familiar with.

2. Include Any Relevant Certifications or Training: If you have any certifications or training related to data warehousing, make sure to mention them on your resume. This will demonstrate your commitment to learning and staying up-to-date with the latest trends in data warehousing technology.

3. Describe Your Experience With Projects: Showcase any projects you have worked on that involve data warehousing. Provide details about what your role was in completing the project, as well as the results of your efforts.

4. Demonstrate Your Problem Solving Skills: Employers want to see that you can identify and solve problems quickly and effectively when working with a data warehouse system. Highlight any instances where you identified an issue and resolved it using your technical knowledge and expertise.

5. Quantify Your Achievements: Whenever possible, try to quantify the results of your work with numbers or percentages wherever appropriate. For example, if you improved query performance by 20%, make sure to include this information in your resume so employers can see how effective you were in solving a problem or improving efficiency within the system.

Related: Data Warehouse Manager Resume Examples

Key Skills Hiring Managers Look for on Netflix Data Warehouse Developer Resumes

Today, many companies use Applicant Tracking Systems (ATS) to help them manage the large volume of resumes they receive for job postings. When applying for a Data Warehouse Developer opportunity at Netflix, it is important to incorporate keywords from the job description into your resume and cover letter. This will help ensure that your application is picked up by the ATS and make it easier for recruiters to find you in their database. Furthermore, using relevant keywords makes you appear more qualified to the recruiter, as they can quickly identify the skills and experience required for the role.

When applying for a data warehouse developer position at Netflix, you may come across common skills and key terms such as the ones listed below.

Key Skills and Proficiencies
SQLETL
Data ModelingData Warehousing
Business IntelligenceOLAP
Database DesignData Analysis
Data MiningPL/SQL
OracleMySQL
Microsoft SQL ServerStar Schema Design
Kimball MethodologyDimensional Modeling
HadoopBig Data Technologies
Reporting Tools (e.g., Tableau, Power BI)Cloud Computing (e.g., AWS, Azure)
Visualization Tools (e.g., QlikView, MicroStrategy)Unix/Linux scripting

Related: Data Warehouse Manager Skills: Definition and Examples

Common Action Verbs for Netflix Data Warehouse Developer Resumes

Finding the right action verbs to use on a resume can be tricky. It is important to use varied, specific action verbs in order to create a strong and effective Netflix Data Warehouse Developer resume. For example, instead of using the generic verb “developed”, try using words such as “architected” and “engineered” that more accurately describe the tasks performed. Additionally, include words such as “streamlined” and “automated” that demonstrate how your work improved processes or created efficiencies. Carefully chosen action verbs will help you stand out from other applicants and showcase your skills in a powerful way.

To give you an advantage in the job market, we've compiled a list of powerful action verbs that can be used to strengthen your resume and increase your chances of landing your next interview:

Action Verbs
DevelopedDesigned
ImplementedOptimized
ConfiguredMonitored
AdministeredTroubleshot
MaintainedCreated
ExtractedTransformed
LoadedAnalyzed
TestedDocumented
AutomatedDeployed
ScheduledUpgraded
IntegratedSecured

Related: What does a Data Warehouse Manager do?

Editorial staff

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Editor

Brenna Goyette

Expert Verified

Brenna is a certified professional resume writer, career expert, and the content manager of the ResumeCat team. She has a background in corporate recruiting and human resources and has been writing resumes for over 10 years. Brenna has experience in recruiting for tech, finance, and marketing roles and has a passion for helping people find their dream jobs. She creates expert resources to help job seekers write the best resumes and cover letters, land the job, and succeed in the workplace.

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