EXPERIENCE:
14+ years

JOB DESCRIPTION

A minimum 15 years experience designing and contributing to the delivery of innovative data driven solutions
At least 2-3 end to end DWH / Data Lake life cycle implementation in Banking / Insurance
Exceptional communications skills to convey complex information in simple terms able to be understood by non-technical audiences.
Proven experience and technical understanding of end to end information/data related technologies and best practices including: Data sourcing, Extract/Transform/Load (ETL), Third Normal Form (3NF) modelling, dimensional modelling, reporting, as well as a sound understanding of established data management policys and principles.
Ability to interact with the technical team, guide and mentor them in the process of POC s and Pliots
Experience in working across a range of cloud and on-premise technologies
Experience in working in IBM Netezza, Snowflake, Exatada or Redshift or related DWH DB
Exposure to ETL tools like IBM Datastage, Informatica, Talend is a must
Ability to solution for either AWS / Azure for services related to data management and data governance
Exposure to data governance products like Collibra, informatica, IBM Knowledge Catalog and Precisely is an added advantage
Should be familiar with data lakehouse architecture using platforms like Databricks
Strong analytical ability with a capability to pitch technical information to staff at multiple levels within the organisation (including non-technical audiences)
Ability to rapidly acquire an understanding of complex business problems/requirements to develop solutions and designs, regardless of existing areas of expertise or specialisation.
Ability to work at varying levels of detail from high level architecture to low level aspects of component design
Experience and knowledge in BI Analytics and Reporting tools - Cognos, Tableau, PowerBI

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SOLUTION ARCHITECT

Job Description

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