Senior Data Engineer

Disney General Entertainment Press; Santa Monica (CA); On-site; USD 138,000 - 187,000; Full time

Job summary

A leading company in the media industry is seeking a Senior Data Engineer to build data pipelines that support revenue-generating initiatives. The ideal candidate will join a collaborative team, work with both technical and non-technical colleagues, and help shape the future of Disney's media business.

Benefits

Health benefits

Flexible working hours

Employee discounts at Disney

Qualifications

• 5+ years of relevant data engineering experience.
• Strong understanding of data modeling and normalization principles.
• 2+ years implementing and reporting on KPIs in data warehousing.

Responsibilities

• Partner with colleagues to understand data requirements.
• Design table structures and define ETL pipelines.
• Develop and maintain ETL routines using tools like Airflow.

Skills

Data modeling

SQL performance tuning

Analytical reasoning

Communication

Collaboration in Agile environments

Education

Bachelor's Degree in computer science

Tools

ETL tools (Airflow, Nifi)

SQL Engines

Snowflake

Databricks

Job description

On any given day at Disney Entertainment & ESPN Product & Technology, we’re reimagining ways to create magical viewing experiences for the world’s most beloved stories while also transforming Disney’s media business for the future. Whether that’s evolving our streaming and digital products in new and immersive ways, powering worldwide advertising and distribution to maximize flexibility and efficiency, or delivering Disney’s unmatched entertainment and sports content, every day is a moment to make a difference to partners and to hundreds of millions of people around the world.

A few reasons why we think you’d love working for Disney Entertainment & ESPN Product & Technology:

• Building the future of Disney’s media business: Our technologists are designing and building the infrastructure that will power Disney’s media, advertising, and distribution businesses for years to come.
• Reach & Scale: The products and platforms this group builds and operates delight millions of consumers every minute of every day – from Disney+ and Hulu, to ABC News and Entertainment, to ESPN and ESPN+, and much more.
• Innovation: We develop and execute groundbreaking products and techniques that shape industry norms and enhance how audiences experience sports, entertainment & news.
  
  
  

Job Summary:

Commerce Data Solutions builds and maintains best in class data products enabling business teams to analyze and measure subscriber movements and support revenue generation initiatives. The Senior Data Engineer will contribute to the Company’s success by partnering with business, analytics and infrastructure teams to design and build data pipelines to facilitate measuring subscriber movements and metrics. Collaborating across disciplines, they will identify internal/external data sources, design table structure, define ETL strategy & automated Data Quality checks.

Responsibilities:

• Partner with technical and non-technical colleagues to understand data and reporting requirements.
• Work with engineering teams to collect required data from internal and external systems.
• Design table structures and define ETL pipelines to build performant Data solutions that are reliable and scalable in a fast growing data ecosystem.
• Develop Data Quality checks
• Develop and maintain ETL routines using ETL and orchestration tools such as Airflow
• Implement database deployments using tools like Schema Change
• Perform ad hoc analysis as necessary.
• Perform SQL and ETL tuning as necessary.
  
  
  

Basic Qualifications:

• 5+ years of relevant data engineering experience
• Strong understanding of data modeling principles including dimensional modeling & data normalization principles.
• Good understanding of SQL Engines and able to conduct advanced performance tuning.
• 2+ years of work experience implementing and reporting on business key performance indicators in data warehousing environments
• 2+ years of experience using analytic SQL, working with traditional relational databases and/or distributed systems (Snowflake or Redshift)
• Ability to think strategically, analyze and interpret market and consumer information.
• Strong communication skills – written and verbal presentations.
• Excellent conceptual and analytical reasoning competencies.
• Comfortable working in a fast-paced and highly collaborative environment.
• Familiarity with Agile Scrum principles and ceremonies
• Bachelor’s Degree in computer science, information systems, or related field or equivalent work experience.
  
  
  

Preferred Qualifications:

• Masters Degree in a related field, and/or related certification/s
• 1+ years of experience programming languages (e.g. Python, Pyspark)
• 1+ years of experience with data orchestration/ETL tools (Airflow, Nifi)
• Experience with Snowflake, Databricks/EMR/Spark, and/or Airflow.
  
  
  

#DISNEYTECH

The hiring range for this position in Santa Monica, CA is $138,900 to $186,200 per year and in New York, NY and Seattle, WA is $145,400 to $195,000 per year. The base pay actually offered will take into account internal equity and also may vary depending on the candidate’s geographic region, job-related knowledge, skills, and experience among other factors. 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.

Seniority level

• Seniority level

  Mid-Senior level

Employment type

• Employment type

  Full-time

Job function

• Job function

  Information Technology

• Industries

  Broadcast Media Production and Distribution

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