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Sr. Quality Assurance Analyst (Data Engineering & Enterprise Data Lake)

Warner Bros. Discovery

Sr. Quality Assurance Analyst (Data Engineering & Enterprise Data Lake)

Warner Bros. Discovery

GA Atlanta 1050 Techwood Drive NW

·

On-site

·

Full-time

·

1w ago

Required Skills

QA Testing

SQL

Python

Linux

Snowflake

Data Warehousing

Functional Testing

System Testing

Integration Testing

Performance Testing

Shell Scripting

ELT

Agile

Welcome to Warner Bros. Discovery… the stuff dreams are made of.

Who We Are…

When we say, “the stuff dreams are made of,” we’re not just referring to the world of wizards, dragons and superheroes, or even to the wonders of Planet Earth. Behind WBD’s vast portfolio of iconic content and beloved brands, are the storytellers bringing our characters to life, the creators bringing them to your living rooms and the dreamers creating what’s next…

From brilliant creatives, to technology trailblazers, across the globe, WBD offers career defining opportunities, thoughtfully curated benefits, and the tools to explore and grow into your best selves. Here you are supported, here you are celebrated, here you can thrive.

Your New Role Description:

We are seeking a Sr. QA Analyst to perform Quality testing work on our Data Management, Engineering & Architecture team that supports the development and implementation of the Enterprise Data Lake. The Sr. QA Analyst will partner with other team members to ensure that we bring all the data assets together in one place in our Enterprise Data Lake platform and make this data accessible to our business users for analysis and action. The business goal is to leverage WBD’s data assets to create modeling solutions for audience targeting, experience personalization and subscription management. The ideal candidate should bring a very good working knowledge of various Data technologies along with experience working on the AWS and Snowflake cloud platform.

Your Role Accountabilities:

  • Develop and implement QA methodologies, processes and documentation.
  • Ability to perform in an Agile environment.
  • Understand high-level data management and engineering requirements of the business.
  • Work closely with data architects and analytics team to understand system and business requirements.
  • Develop and maintain test plans, test scripts and test results.
  • Perform System, Functional and Integration testing as well as Performance testing where appropriate.
  • Work with Product managers and Users during UAT
  • Contribute to the project planning process by estimating QA tasks and deliverables.

Qualifications & Experiences:

  • Minimum 8 years’ experience as a database QA Engineer in Data Warehousing, reporting and analytics environments
  • BS/MS in Computer Science, MIS, business, or equivalent education/training/experience
  • Working experience in all aspects of testing: functional, system, integration, performance
  • Expertise in working with Linux environments
  • Experience with cloud-based tools such as Snowflake
  • Experience automating, scripting, and streamlining processes for efficiency and accuracy utilizing SQL, Python, Unix shell scripting and Windows BAT.
  • Ability and experience with the development of processes and procedures to standardize analytics platform installations and configuration.
  • Ability to work on unusually complex technical problems and provide solutions that are highly innovative and ingenious.
  • Ability to provide technical documentation and project plans for technical staff
  • Experienced in software delivery through continuous integration (for example git, bitbucket, Jenkins, etc.)
  • Understanding of ELT processes
  • Experience with BI tools like Tableau, Looker
  • Expertise in database platforms such as RDBMS or NOSQL platforms
  • Expert level knowledge of SQL
  • Experienced in one or more automation and scheduling tools (for example Redwood, Airflow, etc.)
  • Experienced with Atlassian Suite (JIRA, Confluence)
  • Excellent communication, presentation, and customer relationship skills.

Not Required but preferred experience:

  • Public speaking and presentation skills.
  • Experience with AWS, GCP or Azure tools and technologies
  • Windows and Linux System administration

How We Get Things Done…

This last bit is probably the most important! Here at WBD, our guiding principles are the core values by which we operate and are central to how we get things done. You can find them at www.wbd.com/guiding-principles/ along with some insights from the team on what they mean and how they show up in their day to day. We hope they resonate with you and look forward to discussing them during your interview.

Championing Inclusion at WBD

Warner Bros. Discovery embraces the opportunity to build a workforce that reflects a wide array of perspectives, backgrounds and experiences. Being an equal opportunity employer means that we take seriously our responsibility to consider qualified candidates on the basis of merit, without regard to race, color, religion, national origin, gender, sexual orientation, gender identity or expression, age, mental or physical disability, and genetic information, marital status, citizenship status, military status, protected veteran status or any other category protected by law.

If you’re a qualified candidate with a disability and you require adjustments or accommodations during the job application and/or recruitment process, please visit our accessibility page for instructions to submit your request.

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About Warner Bros. Discovery

Warner Bros. Discovery

Warner Bros. Discovery, Inc. (WBD) is an American multinational mass media and entertainment conglomerate headquartered in New York City. It was formed from WarnerMedia's spin-off by AT&T and merger with Discovery, Inc. on April 8, 2022.

10,001+

Employees

New York City

Headquarters

Reviews

3.8

3 reviews

Work Life Balance

2.5

Compensation

2.0

Culture

3.0

Career

3.5

Management

2.0

35%

Recommend to a Friend

Pros

Good technical experience and projects

Strong performance recognition

Team connections and networking

Cons

Poor work-life balance

Unreliable offer management

Limited career progression

Salary Ranges

2 data points

L3

L4

L5

L3 · Data Scientist I

0 reports

$124,580

total / year

Base

-

Stock

-

Bonus

-

$105,893

$143,267

Interview Experience

9 interviews

Difficulty

2.1

/ 5

Duration

21-35 weeks

Offer Rate

22%

Experience

Positive 33%

Neutral 67%

Negative 0%

Interview Process

1

Application Review

2

Phone Screen

3

Technical Interview

4

Final Interview

5

Offer Decision

Common Questions

Coding/Algorithm

Technical Knowledge

Behavioral/STAR

Past Experience