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The Institutional Data Platform is a next generation Data Fabric that functions at the core of Enterprise Data Strategy to solve the evolving Data needs of Citi’s SMB. The Fabric brings together disparate data sources for the Global Markets organization and enables seamless Regulatory reporting, Client/ Surveillance/ Supervisory reporting, industry-leading Analytics and Data Science solutions. It provides enhanced Data Quality controls, Completeness and Accuracy, Reconciliations, Entitlements, Performance, management of Data Retention and Archival per regulatory guidelines. As part of this program build out, the team is setting up a robust platform to receive, host and deliver massive volumes of data, transforming the data management & delivery paths, developing high performance data pipelines with best-in-class control mechanisms and operational dashboards.
Job Responsibility:
Design and develop reusable Frameworks for Data ingestion, extraction, report submission etc.
Translate high-level & functional requirements, Data Modelling (dimensional, semi structured, transactional use cases) to technical design
Develop batch & real time data ingestion Pipelines involving wide range of technologies like Messaging middleware, Kafka, SFTP, Spark, Hive etc.
Develop programs to migrate Historical Data from legacy platforms to the BigData platform
Develop programs for real time and EOD reconciliations
Provide SME support for development of automated QA scripts
Participate in UAT/ SIT Test cycles, Release cycles, triage and resolve issues
Setup monitoring and management for services
Partner with Project Manager, BA and Business stakeholders and prioritize the Book of Work
Perform Code reviews, test case reviews and ensure Functional & Non-Functional requirements
Analyse Platform & Software version upgrades, evaluate new tools and technologies for Big Data handling
Ensure adherence to and develop best practices supporting Citi’s Project Management Standards
Ensure SDLC standards are followed with artefacts to support Internal & External Audits
Identify problems, analyze information, and make evaluative judgements to recommend and implement solutions
Resolve issues by identifying and selecting solutions through the applications of acquired technical experience and guided by precedents
Has the ability to operate with a limited level of direct supervision
Can exercise independence of judgement and autonomy
Acts as SME to senior stakeholders and /or other team members
Appropriately assess risk when business decisions are made, demonstrating particular consideration for the firm's reputation and safeguarding Citigroup, its clients and assets, by driving compliance with applicable laws, rules and regulations, adhering to Policy, applying sound ethical judgment regarding personal behavior, conduct and business practices, and escalating, managing and reporting control issues with transparency
Requirements:
5+ years of software development experience building large scale distributed data processing systems or large-scale Web applications
Experience of at least 3 years in designing & developing Big Data solutions with at least one end to end implementation
Strong Hands-on experience in following technical skills: Apache Spark
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