Description

　　As Senior Manager in Data Engineering, you would be responsible for defining and executing data strategy for clients. Your role would be focused on high-quality strategy, definition, and delivery of solutions involving:

　　Data Integration, Governance & Wrangling

　　Data Storage and Computation Frameworks, Performance Optimizations

　　Analytics & Visualizations

　　Infrastructure & Cloud Computing

　　Data Management Platforms

　　The role requires a hands-on technologist with expertise in databases, Hadoop, MDM and reporting to provide strategic and tactical direction to customers in the areas of marketing and technology. The person should have a strong programming background like Java.

　　As a data engineering practitioner, you should have a point of view and 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.

　　Responsibilities:

　　Provide inputs to define and execute strategic roadmap for enterprise data architecture by identifying the current landscape and future business goalsProvide technical leadership and hands-on implementation role in the areas of data techniques including data access, integration, modeling, visualization, mining, design and implementationLead a globally distributed team to deliver high quality solutions. Manage functional & non-functional scope and qualityHelp establish standard data practices like governance and address other non-functional issues like data security, privacy and qualityHelp establish best practice like standards and guidelines for design & development, deployment, support and analytics and miningHelp establish 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 and drive key transformational programs like customer 360 degree view for the clientsFunctional understanding related to digital marketing & customer experience solution blocks, Master data Management (MDM), Customer Relationship Management (CRM), Campaign Management, Tag Management, Media Buying, Optimizations, Recommendations & Targeting, DMP, and DSP.Understanding Digital data sources such as Open source data (ex: Facebook, Twitter, LinkedIn etc.), Web log Data (SiteCatalyst, Google Analytics), 3rd party paid data (ex: Acxiom, ACNielsen etc.) and business application data (CRM, Ecommerce etc.)Run workshops with clients and align client stakeholders to optimal solutions

　　Qualifications

　　Benefits of Working Here:

　　Gender-Neutral Policy.18 paid holidays throughout the year for NCR/BLR (22 For Mumbai).Generous parental leave and new parent transition program.Flexible work arrangements.Employee Assistance Programs to help you in wellness and well being.

　　Additional Information

　　Publicis Sapient is a digital transformation partner helping established organizations get to their future, digitally-enabled state, both in the way they work and the way they serve their customers. We help unlock value through a start-up mindset and modern methods, fusing strategy, consulting, and customer experience with agile engineering and problem-solving creativity. United by our core values and our purpose of helping people thrive in the brave pursuit of the next, our 20,000+ people in 53 offices around the world combine experience across technology, data sciences, consulting and customer obsession to accelerate our clients' businesses through designing the products and services their customers truly value.

　　Company Description

　　As Senior Manager in Data Engineering, you would be responsible for defining and executing data strategy for clients. Your role would be focused on high-quality strategy, definition, and delivery of solutions involving:

　　Data Integration, Governance & Wrangling

　　Data Storage and Computation Frameworks, Performance Optimizations

　　Analytics & Visualizations

　　Infrastructure & Cloud Computing

　　Data Management Platforms

　　The role requires a hands-on technologist with expertise in databases, Hadoop, MDM and reporting to provide strategic and tactical direction to customers in the areas of marketing and technology. The person should have a strong programming background like Java.

　　As a data engineering practitioner, you should have a point of view and 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.

　　Responsibilities:

　　Provide inputs to define and execute strategic roadmap for enterprise data architecture by identifying the current landscape and future business goalsProvide technical leadership and hands-on implementation role in the areas of data techniques including data access, integration, modeling, visualization, mining, design and implementationLead a globally distributed team to deliver high quality solutions. Manage functional & non-functional scope and qualityHelp establish standard data practices like governance and address other non-functional issues like data security, privacy and qualityHelp establish best practice like standards and guidelines for design & development, deployment, support and analytics and miningHelp establish 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 and drive key transformational programs like customer 360 degree view for the clientsFunctional understanding related to digital marketing & customer experience solution blocks, Master data Management (MDM), Customer Relationship Management (CRM), Campaign Management, Tag Management, Media Buying, Optimizations, Recommendations & Targeting, DMP, and DSP.Understanding Digital data sources such as Open source data (ex: Facebook, Twitter, LinkedIn etc.), Web log Data (SiteCatalyst, Google Analytics), 3rd party paid data (ex: Acxiom, ACNielsen etc.) and business application data (CRM, Ecommerce etc.)Run workshops with clients and align client stakeholders to optimal solutions