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About the role
JOB DESCRIPTION: Key Requirements: - Technology Side RTS Engineer, Kafka or confluent Kafka for Streaming - Apache Flink Or Apache beam if Both are not there then must have exp in Pyspark - Minimum exp: 5-6 years - Programming Side: Java or Python - Basic knowledge of Data mart or Data Modelling or Data Vault. - Basic knowledge in Kubernetes deployment Responsible to design, develop & manage Enterprise Data Warehouse modelling (Conceptual, Logical, Physical & Virtual), including model consolidation and integration. - Responsible for how the data will be stored, consumed and managed within the Enterprise Data Warehouse - Responsible for continuous & continual driving of data usage across the organization to drive the business value - Provide guidance to developers, modelers and data administration concerning design and transition to the physical data workplace - Recommend relational (RDBMS) and non-relational (NoSQL, Big Data, Doc DB) data storage technologies suitable to meet business and data needs based on deep understanding of data and existing/planned usage - Drives the evaluation and adoption of emerging data warehouse technologies including Banking & Financial sector Industry Standard Data Models for building an EDW. - Liaise with support and operational units to ensure data processing SLAs are well defined and followed - Responsible for designing, facilitating & maintaining metadata (business glossary, definition, golden source, derivation logic, ownership, etc.), data lineage, quality, profiling, mining and master data management. - Manage and establish standards for naming and abbreviation conventions, data definitions, ownership, documentation, and change management procedures/techniques .
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