Hadoop developer / Admin and suppor...

Strong conceptual understanding of the context and business requirements. To understand the business needs, High-Level design, and produce Low-level design documents, implement code by the best practices. Hadoop development and Implementation. Loading from disparate data sets. Pre-processing using hive Ability to perform data quality checks in an orderly manner to understand how to utilize client data accurately. Expert level programming skills using Hadoop to meet the challenges of advanced data manipulation, complicated programming logic, and large data volumes is required. Ability to communicate results and methodology with the project team and clients. Should be able to work in the offshore/onshore modelAbility to meet deadlines and thrive in a banking environment. Provides solutions for data-driven applications involving large and complex data and providing reconciliation and test cases. Understand customer's business processes and pain areas which need attention Source system understanding and analysis. Solution Architecture for the entire flow from source to end reporting data marts. Design Conceptual and physical data model for a global data warehouse.in the Hadoop world (ETL versus ELT) High Level & Low-Level design for ETL Components in Hadoop Strong conceptual understanding of the context and business requirements. To understand the business needs, High-Level design, and produce Low-level design documents, implement code by the best practices. Hadoop development and Implementation. Loading from disparate data sets. Pre-processing using hive Ability to perform data quality checks in an orderly manner to understand how to utilize client data accurately. Expert level programming skills using Hadoop to meet the challenges of advanced data manipulation, complicated programming logic, and large data volumes is required. Ability to communicate results and methodology with the project team and clients. Should be able to work in the offshore/onshore modelAbility to meet deadlines and thrive in a banking environment. Provides solutions for data-driven applications involving large and complex data and providing reconciliation and test cases. Understand customer's business processes and pain areas which need attention Source system understanding and analysis. Solution Architecture for the entire flow from source to end reporting data marts. Design Conceptual and physical data model for a global data warehouse.in the Hadoop world (ETL versus ELT) High Level & Low-Level design for ETL Components in Hadoop