Responsibility :
- Lead the Consulting initiatives for Customers as well as internal solution initiatives creating technical problem definitions and technical solution approaches
- Interface with Customers to identify opportunity for adoption of Big Data and Advanced Analytics based solutions for their Business and define the scenarios and use cases for implementing solutions
- Analyze high level requirements from Customers and create a roadmap for implementing Business Analytics
- Provide consulting for Technology architecture, evaluation and selection of platforms, technologies and tools best fit for Customer's needs
- Lead the Analysis, Architecture, implementation and deployment of high end solutions for Customers for Big Data and Advanced Analytics requirements
- Actively involve in creating industry solutions and generalized technical solutions, design frameworks and reference architectures
- Work as an effective team player, provide coaching and mentoring to technical architects/leads and work in a collaborative manner
- Involve in development of Design guidelines and Best practices across various Big Data and analytics platforms, tools and technologies
Experience :
- 10+ years of experience involving Consulting, Solution Architecture and implementation in Data Warehousing, BI and Analytics with 3+ years in Big Data, Advanced Analytics and Machine learning based implementations across industries
Required skills :
- Deep understanding of Big Data Analytics concepts and technology ecosystem
- Experience in defining technical solution architectures in Big Data & Advanced analytics areas for business requirements across various industry verticals
- Strong working experience in Advanced Analytics solutions/ projects using predictive and prescriptive analytics, Machine learning techniques/algorithms
- Working experience in R, Python, Mahout or other statistical modeling, Machine Learning packages/tools
- Working knowledge of Apache Spark, Spark SQL
- Working Experience across multiple platforms/utilities like Hadoop, MongoDB, Cassandra or MarkLogic, Storm, in memory databases, Cloud platforms
- Exposure to best practices in Architecture and Design, Development, manage performance and scalability and Testing for large scale implementations
- Demonstrate analytical and problem solving skills, particularly those that apply to Big Data analytics scenarios
- Ability to contribute to multiple projects/demands simultaneously and work in a fast paced, collaborative and dynamic environment
- Strong aptitude, problem solving, technology and business consulting skills presentation of ideas and solutions
Desirable skills :
- Hands on experience with programming languages like Python, Scala, Spark SQL
- Expertise in RDBMS and Data architecture, Data Quality and governance
- Experience in implementation of a project/solution for Digital or IOT
- Exposure to various MPP Databases, In-Memory BI/Analytics, Columnar databases, In-Memory DBs for large scale Data Management, BI and Analytics
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