Data Engineer II

The Walt Disney Company • Seattle, WA

7d • Onsite

About The Position

Technology is at the heart of Disney’s past, present, and future. Disney Entertainment and ESPN Product & Technology is a global organization of engineers, product developers, designers, technologists, data scientists, and more – all working to build and advance the technological backbone for Disney’s media business globally. The team marries technology with creativity to build world-class products, enhance storytelling, and drive velocity, innovation, and scalability for our businesses. We are Storytellers and Innovators. Creators and Builders. Entertainers and Engineers. We work with every part of The Walt Disney Company’s media portfolio to advance the technological foundation and consumer media touch points serving millions of people around the world. As a Data Quality Engineer in DQM team, you will provide the technical and business skills to ensure Disney data is trusted. The ideal candidate will help to define, measure, support and certify the data pipelines and systems that serve data to our business and millions of users. We are looking for an amazing Data Quality Engineer who will be an exceptional addition to our growing team, some who: Can recommend data quality tactical and strategic approach Identifies data anomalies and certify data Has the curiosity to research and learn new technologies and skills Employs positive thinking and can work constructively in a team setting Is passionate about data quality, BigData and related technologies If this sounds like you, Disney DQM team wants your help to make sure our data is trusted.

Requirements

• 3+ years’ experience in SQL programming: ability to read/write complex SQL queries to analyze data, investigate systemic defects and validate data quality
• Experience working with Big Data technologies (Cloudera, Hortonworks, Hadoop/Spark etc), relational databases (Sql ,mySql) as well as reporting tools like Tableau
• Experience in programming languages like Python or Scala/Java; in addition to standard frameworks that implement data quality checks.
• Familiar with version control system like GIT
• Good math and statistic background to define advanced DQ checks
• Excellent analytical ability to understand business use cases and business processes in terms of data, root causes and recommended solutions/mitigations
• Ability to collaborate cross-functionally with various teams across the DATA organization
• Capability to assess and problem-solve complex issues
• Exceptional written and oral communication skills that translate across technical and business stakeholders
• Independent, energetic, highly technical, and strive for results while dealing with ambiguity and tight deadlines
• Passion and creativity – Are passionate about data quality, technology, & creative innovation.

Nice To Haves

• 2+ years of experience working in online services or entertainment industry
• Proficiency with agile development methodologies and process
• Good knowledge of cloud computing (AWS) and automation on it.
• Experience with real-time and very large scalable online systems are preferred

Responsibilities

• Use internal and external analytics tools to access, assess and certify data
• In-depth exploration of causes, trends, opportunities, and actions required to improve data quality of key metrics, KPIs, and additional data elements
• Provide ad hoc analysis to support data team, business units, and key stakeholders for complex data quality questions
• Perform all aspects of data quality testing, certification, and reporting
• Automate processes, procedures, and workflows to ease data quality certification process
• Collaborate with engineering, management, product, and business teams to improve data quality across products and projects

Benefits

• A bonus and/or long-term incentive units may be provided as part of the compensation package, in addition to the full range of medical, financial, and/or other benefits, dependent on the level and position offered.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level