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.

• 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.
• Defining technical and business requirements for data-related functionality and platform and converting 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 implementation
• Must have experience in designing and architecting large scale distributed data management & analytics applications
• Work 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 quality
• Contribute to building best practice like standards and guidelines for design & development, deployment, support and analytics and mining
• Contribute to building best practice in acquiring, storing and analyzing structured, semi-structured and un-structured data from the enterprise and outside like social
• Come up with analytics solutions based on the business goals and appropriate data visualization to support the goals
• Manage and provide technical leadership to large data programs or multiple programs implementation based on the requirement using agile technologies
• Define solutions for key transformational programs like customer 360-degree view for the clients
• Thorough understanding of Solution architecting & Estimation process
• Create solution options and lead pros & cons discussions with clients
• Education:Full time-Bachelor’s/ Master’s degree (Computerscience or Engineering preferred)

• 8+ years of experience within the field of data engineering
• Excellent understanding of common data technologies
• Experienced in Hadoop eco-system with one or more distributions like Cloudera and Horton Works
• Experienced in computation frameworks like Spark, Storm, Flink using Java/Scala
• Experienced in working on Big Data application development in a cloud environment using either AWS, Azure or Google cloud platform
• Well-versed with streaming data processing using Kafka, Spark Streaming, Storm, etc.
• Well versed with pros and cons of various database technologies like Relational, NO SQL, MPP, Columnar databases
• Well 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 models
• Experienced in one or more ETL, BI, Analytics, and advanced visualization technologies
• Knowledge of the cloud and social media technologies and integrations
• Experienced in master data management and building customer 360-degree views
• Strong analytical and problem-solving skills
• Strong communication skills in verbal, written, and visual presentations
• Strong coordination and negotiation skills
• Multi geo experience and distributed delivery experience in large programs
• Business Knowledge: Data-driven marketing experience would be a plus nice to have:
• Strong written and verbal communication skills
• Articulation skills
• Good team player
• Self-starter who requires minimal oversight
• Ability to prioritize and manage multiple tasks
• Process orientation and the ability to define and set up processes

• 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