Data Engineer I
Empresa:

Disney Entertainment & Espn Technology


Detalles de la oferta

Disney Entertainment & ESPN TechnologyOn any given day at Disney Entertainment & ESPN Technology, were reimagining ways to create magical viewing experiences for the worlds most beloved stories while also transforming Disneys media business for the future. Whether thats evolving our streaming and digital products in new and immersive ways, powering worldwide advertising and distribution to maximize flexibility and efficiency, or delivering Disneys 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 youd love working for Disney Entertainment & ESPN Technology Building the future of Disneys media business: DE&E Technologists are designing and building the infrastructure that will power Disneys 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 Disneys 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 I will contribute to the Companys 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.
ResponsibilitiesPartner 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.
Work with team on developing 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 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 Experience implementing and reporting on business key performance indicators in data warehousing environments, required.
Knowledge of using analytic SQL, working with traditional relational databases and/or distributed systems (Snowflake or Redshift), required.
At least 1 year of experience programming languages (e.g. Python, Pyspark), preferred.
Experience experience with data orchestration/ETL tools (Airflow, Nifi), preferred.
Experience with Snowflake, Databricks/EMR/Spark, and/or Airflow.
Required EducationBachelors Degree in computer science, information systems, or related field or equivalent work experience.
Additional Information#DISNEYTECH

The hiring range for this position in Santa Monica, CA is $85,300.00 to $114,00.00 per year. The base pay actually offered will take into account internal equity and also may vary depending on the candidates 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.
Required Preferred Job IndustriesOther


Fuente: Appcast_Ppc

Requisitos

Data Engineer I
Empresa:

Disney Entertainment & Espn Technology


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