Job Description
• Implementing Data Architecture/ Data modelling for data platform and Analytics.
• Responsible for the technical design and development of Analytics and big data systems including ETL, data transformations.
• Define and govern banking logical model and data platform best practices and standards to include software development practices, design styles and software deployment.
• Facilitate the discovery of entities, attributes, relationships, and business rules from the functional experts and the user community.
• Metadata management.
• Working with cross-functional teams to discover and develop actionable, high-impact data analytics requirements and opportunity statements in a variety of core business areas.
• Assessing tool implementations and architectures in the Analytics & Big data space, reviewing for gaps against business needs and industry best practices.
• Contributing to business process design and re-engineering impacted areas
Requirements
• At least 6 to 8 years of working experience, preferably in banking environments
• Familiarity with key technologies and concepts, e.g. Hadoop, Hive, Spark, Scala, Java and Impala are necessary
• Familiarity with Cloudera echo systems.
• Candidate with experience in Analytics and big data architecture.
• Familiarity with key technologies and concepts, SQL & Big Data.
• Knowledge of products in Banking and Financial Services.
• Ability to write clear documentation of procedures, and ability to write specifications for data models to be developed.
• Detail-oriented and able to follow clear methodologies for troubleshooting and development.
• Expert knowledge of data Architecture in financial service data models.
• Expert knowledge of Erwin data modeler tool. Certifications would be a plus.
• Expert in Data Analysis and Data Profiling.
• Efficient in prioritizing work and multi-tasking
