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Prudential Global Services - Big Data Architect

Prudential Global Services

Big Data Architect
Powai, Mumbai, Maharashtra, India
7 - 10 Years
15 - 20 LPA

Skills

Job Description

Overall Job Purpose: •Oversee the ongoing development and operations of an end to end Data architecture that enables fact based decision making, ad-hoc analysis and insight generation •Regular review of emerging technologies to assess their relevance and viability in solving on-going information management challenges eg. Big Data, Cloud Computing, Enterprise metadata management and Data SOA •Participate in the development and maintenance of corporate data architecture, data management standards and conventions, data dictionaries and data element naming standards and conventions for multiple computing environments •Establish standard information architecture best practices in the context of the enterprise’s overall architecture, and consistently apply such standards to operating units and functions across the company •Collaborating with end users to identify needs and opportunities for improved data management and delivery •Research and evaluate alternative solutions and recommend the most efficient and cost effective data related solutions for improved data integrity •Improving and streamlining processes regarding data flow and data quality to improve data accuracy, viability and value •Review and approve project designs including data models and ETL •Prepares written reports of findings and recommendations •Mentoring the Data Technology team and other IT teams on technical skills Skills required: •8 to 10 years in architecting and implementing Big Data platform •Extensive proven experience in Solution envisioning, building demonstration, estimates, proposal development, user presentations/ workshop conduct •Hands on experience on Big Data, Data Lake, Data Warehouse, Data Mart Eg. Hadoop Hortonworks, Hive, Pig, Spark, Scalar, Netezza. etc •Hands on experience on Azure data lake, Azure data brick, Azure data factory •Familiarity with process modelling, semantic modelling and data modelling •Familiarity with software development lifecycles and agile methodology •Knowledge in Insurance / Investment domain is an added advantage

Work Function

Backend Development

Industry

Information Technology

Education

  • B.E / B.Tech


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