Manager Data Engineering

Welcome to SapientNitro. We're an agency changing the game -- redefining the way that brands engage consumers by creating compelling stories and experiences that attract and resonate across an ever-evolving landscape. Our work pushes past boundaries and channels. It wins awards. But most importantly, it makes an impact for our clients and their customers. And makes us excited to step through the door each morning. We help one another climb, we don't climb over one another. Integrity and a team-driven environment connect entrepreneurial minds. Getting goose bumps? Good. If you're ready to be an Idea Engineer with the brightest minds in the industry and do things that haven't yet been imagined, let's see where you can put your talents to work. Job Title:Manager ? Data Engineering Job Summary: As a Manager in Data Engineering, you are responsible for analysis and execution of data strategy for clients. Your role is focused on current state analysis, future state definition and delivery of solutions involving: Data Integration, Governance & WranglingData Storage and Computation Frameworks, Performance OptimizationsAnalytics & VisualizationsInfrastructure & Cloud ComputingData Management Platforms The role requires a hands-on technologist with experience in databases, Hadoop, MDM and reporting to lead solution discussions in the areas of marketing and technology. As data engineering practitioner, you should have an understanding of build vs. buy, performance considerations, hosting, business intelligence, reporting & analytics. Ideally you have experience in integrating data with marketing scenarios like segmentation, targeting, consumer 360 view, etc. but this is not mandatory. Responsibilities:Defining technical and business requirements for data related functionality and platform and convert the requirements into functional and logical architecture.Hands-on implementation in the areas of data techniques including data access, integration, modeling, visualization, mining, design and implementationWork in a globally distributed team to deliver high quality solutions. Manage functional & non-functional scope and quality.Contribute to building standard data practices like governance and address other non-functional issues like data security, privacy and qualityContribute to building best practice like standards and guidelines for design & development, deployment, support and analytics and miningContribute to building best practice in acquiring, storing and analyzing structured, semi-structured and un-structured data from the enterprise and outside like socialCome up with analytics solutions based on the business goals and appropriate data visualization to support the goalsManage and provide technical leadership to large data programs or multiple programs implementation based on the requirement using agile technologiesDefine solutions for key transformational programs like customer 360-degree view for the clientsCreate solution options and lead pros & cons discussions with clients Experience Guidelines: 8 years of experience within the field of data engineeringExcellent understanding of common data technologies Well versed with pros and cons of various database technologies like Relational, NO SQL, MPP, Columnar databasesWell versed with Software as a service, Platform as a service and Infrastructure as a service concept Experienced in multi-dimensional modeling like start schema, snowflakes, normalized and de-normalized modelsExperienced in one or more ETL, BI, Analytics and advanced visualization technologiesExperienced in in Hadoop eco-system with one or more distribution like Cloudera and Horton WorksExperienced in computation frameworks like Storm and SparkKnowledge in cloud and social media technologies and integrationsExperienced in master data management and building customer 360 degree viewsStrong analytical and problem solving skillsStrong communication skills verbal, written and visual presentationsStrong coordination and negotiation skillsMulti geo experience and distributed delivery experience in large programsBusiness Knowledge: Data driven marketing experience would be a plusAbout SapientSapient, part of Publicis.Sapient, is a global services company that helps clients transform in the areas of business, marketing, and technology. The company operates three divisions that enable clients to gain a competitive advantage and succeed in an increasingly digital world. SapientNitro, Sapient Global Markets, and Sapient Government Services fuse insight, creativity, and technology to drive innovation and to help clients navigate complex business problems. Our approach is the subject of case studies used by MBA programs at Harvard and Yale. The company has operations in North America, Europe, and Asia-Pacific. For more information, visit http://www.sapient.com. Sapient is a registered service mark of Sapient Corporation. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions of this role, which include hearing, speaking, typing, and occasionally moving and/or lifting up to 15 pounds. Sapient US is an Equal Opportunity / Affirmative Action employer. All qualified applicants to Sapient US will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, or protected veteran status.

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