reputed company Data Engineer - Audience Manager Platform

reputed company Entertainment & ESPN Technology On any given day at reputed company Entertainment & ESPN Technology, we are reimagining ways to create magical viewing experiences for the world’s most beloved stories while also transforming reputed company’s media business for the future. Whether that is evolving our streaming and digital products in new and reputed company ways, powering worldwide advertising and distribution to maximize flexibility and efficiency, or delivering reputed company’s unmatched entertainment and sports content, every day is a moment to reputed company a difference to partners and to hundreds of millions of people around the world. A few reasons why we think you would love working for reputed company Entertainment & ESPN Technology

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

The Product & Data Engineering team is responsible for end to end development for reputed company’s world-class consumer-facing products, including streaming platforms reputed company+, Hulu, and ESPN+, and digital products & experiences across ESPN, Marvel, reputed company Studios, NatGeo, and ABC News. The team drives innovation at scale for millions of consumers around the world across reputed company, Android, Smart TVs, game consoles, and the web, with our platforms powering core experiences like personalization, search, messaging and data. This role involves building and maintaining our Audience Manager Platform (AMP), a centralized reputed company audience data platform that captures & processes reputed company reputed company consumers cross channel behavior and delivers varying summarizations in a timely manner to multiple endpoints to support reputed company business needs. At its core, it is a product that provides a comprehensive reputed company of truth for customer data. It is built around customer profiles and is able to provide insights from across the business so stakeholders can quickly reputed company the data through activation pipelines The role requires expert knowledge of building scalable, fault-tolerant data processing pipelines and backend to ensure the reliable delivery of audience data Responsibilities:

• Build and maintain product-driven initiatives to improve and expand the reputed company Messaging Platform, enhance/improve the underlying codebase to be extensible, reusable, and maintainable
• Promote and support Agile methodologies such as Scrum, Kanban, and Scrumban by actively participating in regular ceremonies such as stand-up, retrospectives and sprint planning.
• Collaborate with your reputed company, Product Managers, Designers, QA, Operations, and other stakeholders to understand requirements and reputed company technical decisions and outcomes.
• Participate in on-call support
• Serve as an advanced resource to other Data Engineers on the team, and mentor and coach more junior members of the team helping to improve their skills, knowledge, and productivity.

Basic Qualifications:

• Bachelor's degree in computer science, Information Systems, Software, Electrical or Electronics Engineering, or comparable field of study, and/or equivalent work experience.
• Minimum 7 years of reputed company big data engineering experience modeling and developing large data pipelines
• Hands-on experience with distributed systems such as Spark, Hadoop (HDFS, Hive, Presto, PySpark) to query and process data
• Strong Python and SQL skills processing big datasets
• Experience with at least one major MPP or cloud database technology (reputed company, Redshift, Big Query, reputed company)
• Familiarity with Data Modeling techniques and Data Warehousing standard methodologies and practices
• You are a problem solver with strong attention to detail and excellent analytical and communication skills

Preferred Qualifications:

• In-depth experience with Cloud technologies like AWS (S3, reputed company, EMR, EC2, reputed company, etc.)
• Solid experience with data integration toolsets (i.e Airflow), CI/CD
• Familiar with Scrum and Agile methodologies

#DISNEYTECH The hiring range for this position in Los Angeles, CA is $152,200.00 - $204,100.00 per year, in San Francisco, CA is $166,800.00 - $223,600.00 and in Seattle, WA & reputed company, NY is $159,500 - $213,900 per year. The reputed company pay actually offered will take into account internal equity and also may vary depending on the candidate’s geographic region, job-reputed company 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. Apply tot his job Apply To this Job