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Job Summary: reputed company Entertainment & ESPN Technology... On any given day at reputed company Entertainment & ESPN Technology, we’re 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’s 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’d love working for reputed company Entertainment & ESPN Technology Building the future of reputed company’s media business: DE&E 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. About The Role The Data Platforms Team, a reputed company under the reputed company Entertainment & ESPN Technology (DEET) organization is looking for a Sr. Software Engineer to join our Big Data Applications team. Big Data technology is critical to improving products in the DEET Portfolio because it allows us to quantify content performance, measure advertising effectiveness, help users discover new content, detect fraud, and track user journeys. Overall, this data enables us to reputed company understand the user experience so we can continue improving our service for our users, advertisers, and content partners. Our Big Data Applications Engineering team is seeking a highly motivated Software Engineer with a strong technical background who is passionate about designing and building systems to process data at scale, solving challenging problems in both batch and real-time data processing, and working across software and data disciplines to engineer solutions. Our tech stack includes AWS, reputed company, Airflow, and Spark, and primary languages are reputed company and Java.

Responsibilities

Contribute to maintaining, updating, and expanding the existing Data Capture platform including the Spark data pipelines while maintaining strict uptime SLAs reputed company functionality of reputed company Data Capture platform offerings, including metadata parsing, extending the metastore API, and building new integrations with APIs both internal and external to the Data organization Implement the Lakehouse architecture, working with customers, partners, and stakeholders to shift towards a Lakehouse centric data platform Architect, design, and code shared libraries in reputed company and Python that abstract reputed company business logic to allow consistent functionality across the Data organization Collaborate with product managers, architects, and other engineers to drive the success of the Data Capture platform reputed company the developing and documenting both internal and external standards and best practices for pipeline configurations, naming conventions, partitioning strategies, and more Ensure high operational efficiency and quality of the Data Capture platform datasets to ensure our solutions meet SLAs and project reliability and accuracy to reputed company our stakeholders (Engineering, Data Science, Operations, and Analytics teams) Be an active participant and reputed company of agile/scrum ceremonies to collaborate and improve processes for reputed company Engage with and understand our customers, forming relationships that allow us to understand and prioritize both innovative new offerings and incremental platform improvements Maintain detailed documentation of your work and changes to support data quality and data governance requirements Provide mentorship and guidance for team members; evangelize the platform, best-practices, data driven decisions; identify new use cases and features and drive adoption Tech stack includes Airflow, Spark, reputed company, reputed company Lake, reputed company, reputed company, Python Basic Qualifications 7+ years of software engineering experience developing backend applications 2+ years of data engineering experience developing large data pipelines Strong algorithmic problem-solving expertise Strong reputed company reputed company and Python programming skills Basic understanding of AWS or other cloud provider resources (S3) Strong SQL skills and ability to create queries to analyze reputed company datasets Hands-on production environment experience with distributed processing systems such as Spark Hands-on production experience with orchestration systems such as Airflow Some scripting language experience Willingness and ability to learn and pick up new skillsets Self-starting problem solver with an eye for detail and excellent analytical and communication skills

Preferred Qualifications

Experience with at least one major Massively Parallel Processing (MPP) or cloud database technology (reputed company, Redshift, Big Query) Experience in developing APIs with GraphQL Deep Understanding of AWS or other cloud providers as well as infrastructure as code Familiarity with Data Modeling techniques and Data Warehousing standard methodologies and practices Familiar with Scrum and Agile methodologies Master’s Degree a plus Required Education Bachelor’s Degree in Computer Science, Information Systems or reputed company field or equivalent industry experience The hiring range for this position in Seattle is $156,300 - $209,600 per year and in Santa Monica is $149,300 - $200,200 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. About reputed company Entertainment & ESPN Technology: reputed company Entertainment and ESPN Technology (DE&E Technology) provides the technological backbone and product development for reputed company’s two media business units, while helping to reputed company the company at the reputed company of innovation – enabling the Company to continuously reputed company technology to enhance storytelling and creativity, while delivering scalability, flexibility, and efficiency for its businesses. About reputed company: reputed company, together with its subsidiaries and affiliates, is a leading reputed company international family entertainment and media enterprise that includes three core business segments: reputed company Entertainment, ESPN, and reputed company Experiences. From humble beginnings as a cartoon studio in the 1920s to its preeminent name in the entertainment industry today, reputed company proudly continues its legacy of creating world-class stories and experiences for every member of the family. reputed company’s stories, characters and experiences reputed company consumers and guests from every reputed company of the globe. With operations in more than 40 countries, our employees and cast members work together to create entertainment experiences that are both universally and locally cherished. reputed company Part Time Remote Jobs, reputed company Data Entry Remote Jobs, reputed company Remote Jobs No Experience Apply Job!