Senior Staff Data Engineer

Experience level: Senior### Job SummaryDiscover how to best rewrite and optimize your resume for this specific job. You'll receive personalized suggestions and detailed guidance to highlight your key strengths, effectively address the job requirements, and make your application more compelling to recruiters and hiring managers.After analyzing your resume, I can provide several recommendations to better position yourself for this role. Your background in software development shows strong technical skills, particularly in Java and Python development. However, for this Senior Backend Developer position, I notice there could be more emphasis on your experience with microservices architecture and cloud technologies, which are key requirements for this role. I recommend highlighting specific projects where you utilized these technologies and quantifying your achievements to demonstrate impact...Understand your compatibility with this specific job opportunity. Our detailed analysis will assess your resume against the role's requirements, providing insights into your potential fit, key skill alignments, and areas you might need to develop to be a strong candidate.After assessing your resume against the job requirements, here's a summary of your fit: 1. **Overall Match:** Moderate Fit (Approx. 65-70%). Your resume shows good alignment with several core responsibilities for the Project Manager role, especially your experience in agile methodologies and stakeholder communication. 2. **Key Strengths:** Your PMP certification and proven track record in delivering projects on time are strong assets for this position. 3. **Potential Gap:** The role specifies experience with 'XYZ specific software', which is not explicitly mentioned in your resume. If you have this experience, ensure it's highlighted. 4. **Recommendation:** Consider adding a quantifiable achievement related to budget management, as this is often a key metric for PM roles...## Company DescriptionNBCUniversal is one of the world’s leading media and entertainment companies. We create world-class content, which we distribute across our portfolio of film, television, and streaming, and bring to life through our global theme park destinations, consumer products, and experiences. We own and operate leading entertainment and news brands, including NBC, NBC News, NBC Sports, Telemundo, NBC Local Stations, Bravo, and Peacock, our premium ad-supported streaming service. We produce and distribute premier filmed entertainment and programming through our powerhouse film and television studios, including Universal Pictures, DreamWorks Animation, and Focus Features, and the four global television studios under the Universal Studio Group banner, and operate industry-leading theme parks and experiences around the world through Universal Destinations & Experiences, including Universal Orlando Resort, home to Universal Epic Universe, and Universal Studios Hollywood. NBCUniversal is a subsidiary of Comcast Corporation. Visit for more information.Our impact is rooted in improving the communities where our employees, customers, and audiences live and work. We have a rich tradition of giving back and ensuring our employees have the opportunity to serve their communities. We champion an inclusive culture and strive to attract and develop a talented workforce to create and deliver a wide range of content reflecting our world.## Job DescriptionWe are seeking a **Senior Staff Data Engineer**looking to build the next generation of data pipelines and applications across the development of innovative new systems and solutions using a rapidly changing landscape of emerging technologies including generative AI and large language models. Working across the practices, techniques and tools used for the operational management of large language models in production environments – the Senior Staff Data Engineer role is proper for you if you’re a subject matter expert in designing data integration frameworks and pipelines and still love to jump in and be “hands-on” when needed. This team is focused on proving the value of new tech and bringing it to production quickly.In the Senior Staff Data Engineer role, you’ll have the opportunity to partner with internal stakeholders, data engineers, visualization experts, data scientists, and other technologists across the businesses. You’ve come to the right place if you love to take large, disparate data sets and build them into flexible and scalable analytics applications and warehouses. Here, you can create the extraordinary. Join us. The ideal candidate should be well-versed in designing, building, and supporting APIs, machine learning services and frameworks, LLMs, lang-chain, and foundational data warehousing technologies. In addition, the candidate should be excited about the possibilities that Generative AI can be leveraged to accelerate various parts of the business.Your primary focus will be building reliable, scalable, and efficient pipelines for use in LLMs and crafting our vision for LLM analytics. You will be essential in defining the team’s strategy, evaluating, and integrating data patterns and technologies, and building pipelines alongside domain experts and data scientists.**Responsibilities:*** Design, build, and scale data pipelines across a variety of source systems and streams (internal, third-party, and cloud-based), distributed/elastic environments, and downstream applications and self-service solutions.* Deep understanding of Machine Learning best practices (e.g., training/serving, feature engineering, feature/model selection, imbalance data, RAG patterns) and algorithms (e.g., deep learnings, optimization)* Solid understanding of data modeling, warehousing, and architecture principles.* Implement appropriate design patterns while optimizing performance, cost, security, and scale and end-user experience.* Collaborate with cross-functional teams to understand data requirements and develop efficient data acquisition and integration strategies.* Interface with other technology teams to extract, load, and transform data from a wide variety of data sources using cloud-native data engineering principles.* Become a subject matter expert for data engineering-related technologies and designs.* Coach and guide others within the organization to build scalable pipelines based on foundational data engineering principles.* Participate in development sprints, demos, and retrospectives alongside releases and deployment.* Build and manage relationships with supporting engineering teams to deliver work products to production effectively.* Have worked well with data scientists, business analysts, and machine learning infrastructure to connect the dots between business and technology partners.* Develop automated tests for your code, ensuring every function, service, and object is compatible with your team’s work and with the many systems within the NBCUniversal system portfolio and cross-device and browser compatibility.* Create documentation for developers and business users to help them understand our products.* Work collaboratively with a multidisciplinary team within a matrixed organization, leveraging strong interpersonal skills to navigate system complexities and deploy solutions efficiently.* Deploy to cloud-based platforms and troubleshoot application, cloud, and configuration issues when necessary.* Utilize tools for code & test generation to dramatically accelerate the delivery of features and components you create.## Qualifications* 10+ years of experience in a data engineering role, with a strong emphasis on leading data engineering teams* Ability to think critically about problems, decipher user preferences versus challenging requirements, and effectively use online and onsite resources to find appropriate solutions.* Proven ability to thrive in an agile development environment, adept at incorporating#J-18808-Ljbffr