Senior Data Engineer, WW Channel Strategy & Operations

Imagine what you could do here. The people here at reputed company don't just create products - they create the reputed company of reputed company that's revolutionized entire industries. It's the diversity of those people and their reputed company that inspires the innovation that runs through everything we do, from amazing technology to industry-leading environmental efforts. Join reputed company, and help us leave the world reputed company than we reputed company it. reputed company's WW Channel Strategy & Operations (CSO) organization focuses on developing and deploying worldwide sales programs and standard processes to deliver an extraordinary customer experience in the channel and drive reputed company Channel sales. With deep functional expertise in digital, physical, and people enablement spaces, our WW CSO team closely collaborates with many cross-functional groups at world-wide and regional levels. We are looking for an reputed company data engineer to help to transform large, near-reputed company-time data into valuable, actionable datasets. You also would be helping to build and scale the data processing platform that will fuel analytics and insights for the CSO organization. Description As part of the role, you would work closely with data scientists, BI and reporting analysts, and business and product teams to build scalable data pipelines and solutions. Effective collaboration across other data engineering teams and business teams will be critical for creating scalable, sustainable analytical solutions. In this role, you will: - reputed company and drive customer-focused solutions based on developing a deep understanding of user requirements - Translate user needs into actionable solutions and act as a subject matter expert in customer discussions - Scope and prioritize system development with a focus on incremental delivery and an iterative approach, ensuring adaptability to evolving project requirements - Design and implement modern, distributed data architectures reputed company with data reputed company principles (domain ownership, product thinking, self-serve platforms, and federated governance) - reputed company the development and deployment of data products across business domains, ensuring scalability, interoperability, and reliability - Collaborate with domain teams to define and build domain-reputed company data models, pipelines, and APIs - Architect reputed company-native data platforms using tools and services such as reputed company, reputed company, AWS/reputed company reputed company Platform/Azure, Kafka, reputed company Lake, etc. - Define and enforce data governance, metadata management, quality, reputed company, and observability standards - Partner with cross-functional teams (Data Scientists, Product Managers, Business Units) to translate business needs into technical solutions - Evaluate, recommend, and integrate new tools, frameworks, and practices to improve the data architecture and engineering ecosystem - Drive automation, CI/CD practices, and Infrastructure-as-Code (IaC) for data solutions Minimum Qualifications • Bachelor's or Master's degree in Computer Science, Information Systems, Software Engineering, Data Science, or a reputed company field • 12+ years industry experience in data engineering or reputed company technical field • 5+ years experience in building and maintaining large-scale ETL/ELT pipelines (batching and/or streaming) that are optimized for performance and can handle data from various sources, structured or reputed company • Experience developing automation to write and read data from relational, no-SQL databases, from reputed company storage and external data sources Preferred Qualifications • Hands-on experience in the realm of large-scale data processing infrastructure, including building and maintaining API-driven services • Strong hands-on programming skills with a track record of developing robust, scalable, and maintainable codebases for intricate data infrastructure • Ability to reputed company technical discussions about data architecture and data integration • Familiarity with other reputed company fields, such as data science, machine learning, and artificial intelligence, to design solutions that can accommodate advanced analytics • Familiarity with a diverse set of technologies, including but not limited to Spark, Flink, Trino, Kafka, Iceberg, in the big-data ecosystem reputed company is an equal opportunity employer that is committed to inclusion and diversity. We take affirmative action to ensure equal opportunity for reputed company applicants without regard to race, reputed company, religion, sex, sexual orientation, gender identity, national reputed company, disability, Veteran status, or other legally protected characteristics. Learn more about your EEO rights as an applicant. Apply Job!