[Work From Home] reputed company Software Engineer, Data Platforms
Quick Overview:
- Position: reputed company Software Engineer, Data Platforms
- Compensation: a competitive salary
- Company: Workwarp
- Location: Remote
- Start Date: Immediate openings available
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Job Posting Title: reputed company Software Engineer, Data Platforms Req ID: 10092611 Job Description: reputed company Entertainment & ESPN Technology On any given day at reputed company Entertainment & ESPN Technology, weÂre reimagining ways to create magical viewing experiences for the worldÂs most beloved stories while also transforming reputed companyÂs media business for the future. Whether thatÂs 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 companyÂs 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 youÂd love working for reputed company Entertainment & ESPN Technology  Building the future of reputed companyÂs media business: DE&E Technologists are designing and building the infrastructure that will power reputed companyÂs 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 companyÂs 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 reputed company 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  MasterÂs Degree a plus Required Education  BachelorÂs 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 candidateÂs 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. Job Posting reputed company: Product & Data Engineering Job Posting Primary Business: PDE - Data Platform Engineering Primary Job Posting Category: Software Engineer Employment Type: Full time Primary City, State, Region, Postal Code: Seattle, WA, USA Alternate City, State, Region, Postal Code: Date Posted: 2024-07-22 Apply Job!Â
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