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Systems Integration Advisor

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Date: Nov 24, 2022

Location: Bangalore, KA, IN

Company: NTT DATA Services

•    Diverse Data Analysis activities on Azure Data platform including but not limited to analyzing data models, data flows, integration patterns for structural deficiencies/soundness to build a robust and complete future state model 
•    Analyse and validate the requirements for specific projects against data sources for extraction into the Data Platform
•    Review of project business requirements to validate whether appropriate and adequate data sources are ingested into data platform
•    Analyse correlations between data sets, research and interpret data, and identify entities and patterns
•    Ability to do end to end impact analysis across systems.
•    Creation of Logical Data Model for the Data Lakehouse environment 
•    Liaison between the business users and project team, articulate business processes into technical streams
•    Catalogue data sets, document and report on analysis using ER Diagrams, Graphs and other visualizations
•    Work with Data Engineering team to build data governance, security and quality solutions within data pipeline 


Lead the data identification, data analysis efforts for data sources and work directly with data owner teams
Develop data requirements for new data sources.
Define new business data models.
•    Good knowledge of Database concepts, SQL and experience in working with Database clients like, TOAD, SQL developer, SQL Server Management Studio
•    Good knowledge of NoSQL/ Document DB.
•    Good understanding of Enterprise Information Model and Expertise in data modeling in Data Warehouse environment, with in-depth knowledge of Data Modeling concepts
•    Proficient in analysing business requirements and mapping them to technical requirements
•    Good exposure on Enterprise Data Architecture, Data Quality Management, ETL mapping, data classification, operational system design 
•    Data Analysis and Interpretation, and Data Issue Debugging Skills
•    Understanding of data integration (ETL) processes is a plus
•    Experience with Big Data and cloud-based data platforms (Azure or AWS) 
•    Able to understand technical issues and translate them into business problems
•    Knowledge for working in Cloud based environment on Azure and AWS will be a big plus

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