DATA ENGINEER II
Company: The Walt Disney Company (France)
Location: Seattle
Posted on: October 24, 2024
Job Description:
Disney Entertainment & ESPN TechnologyOn any given day at Disney
Entertainment & ESPN 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 Technology
- Building the future of Disney's media business: DE&E
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 SummaryThe Product &
Data Engineering team is responsible for end-to-end development for
Disney's world-class consumer-facing products, including streaming
platforms Disney+, Hulu, and ESPN+, and digital products &
experiences across ESPN, Marvel, Disney Studios, NatGeo, and ABC
News. The team drives innovation at scale for millions of consumers
around the world across Apple, Android, Smart TVs, game consoles,
and the web, with our platforms powering core experiences like
personalization, search, messaging, and data.The Data Engineer II
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.
- Contribute to the design of table structures and defining ETL
pipelines to build performant Data solutions that are reliable and
scalable in a fast-growing data ecosystem.
- Develop Data Quality checks, write code, complete programming,
write tests, perform testing, and debug code.
- 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
- 3+ years of relevant data engineering experience.
- Good understanding of data modeling principles including
Dimensional modeling, data normalization principles.
- Good understanding of SQL Engines and able to conduct advanced
performance tuning.
- Ability to think strategically, analyze and interpret market
and consumer information.
- Strong communication skills - written and verbal
presentations.
- Strong conceptual and analytical reasoning competencies.
- Comfortable working in a fast-paced and highly collaborative
environment.
- Familiarity with Agile Scrum principles and
ceremonies.Preferred Qualifications
- 2+ years of work experience implementing and reporting on
business key performance indicators in data warehousing
environments, required.
- 2+ years of experience using analytic SQL, working with
traditional relational databases and/or distributed systems
(Snowflake or Redshift), required.
- 1+ years of experience programming languages (e.g., Python,
Pyspark), preferred.
- 1+ years of experience with data orchestration/ETL tools
(Airflow, Nifi), preferred.
- Experience with Snowflake, Databricks/EMR/Spark, and/or
Airflow.Required Education
- Bachelor's Degree in computer science, information systems, or
related field or equivalent work experience.Additional
Information#DISNEYTECH
The full job description covers all associated skills, previous
experience, and any qualifications that applicants are expected to
have.
The hiring range for this position in Santa Monica, CA is $102,500
to $137,500 per year, in Seattle, WA is $107,400 to $144,000 per
year, and in New York, NY is $107,400 to $144,000 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.
#J-18808-Ljbffr
Keywords: The Walt Disney Company (France), Shoreline , DATA ENGINEER II, Engineering , Seattle, Washington
Didn't find what you're looking for? Search again!
Loading more jobs...