Analyze Map existing system data model to business contexts and related services.Design and develop solutions to extract data from multiple backend systems and store, transform and provision the same on a MS Azure based platform using Azure Services and / or other multi-
cloud platforms.Evaluate and design solutions for virtualization / aggregation / extraction / provisioning of existing system data.
Provide support to engineering team on understanding business entities and corresponding data structures.Support Business Partner project leadership in delivering solutions within time, budget and acceptable quality.
Analyze and research new technologies and infrastructures necessary to provide efficient and cost effective solutions around data management and exchange between on premise and cloud storage.
Position Requirement : Expertise in data modeling and design across multiple data storage technologies both structured and semi-
structured.A minimum of 5 years of experience in designing database solutions, including those hosted on cloud, involving system integration aspects.
Collect and process data streams at scale (including stream-processing and batch ETL)Experience with traditional data warehouse systems and conceptsKnowledge of Data Virtualization / Aggregation technologies would be a plusExperience in designing solutions using : Relational and non-
relational (No-SQL) databasesEnterprise ETL and Data Virtualization tools.Operating System level scripting languages.Data technologies including SQL, Hive, Map / Reduce Skills : -
To analyze data sources from multiple on premise systems and to design and develop solution framework for easy provisioning of this data to an MS Azure based platform, Analyze Map existing system data model to business contexts and related services.
and Design and develop solutions to extract data from multiple backend systems and store, transform and provision the same on a MS Azure based platform using Azure Services and / or other multi-cloud platforms.