Responsibilities
Automate data ingestion, transformation and storage workflowsEnsure high availability and scalability of data pipelines to meet evolving business requirementsDevelop and maintain Extract, Transform, load (ETL) processes for integration data from sources like flat files, databases and API'sGet familiar with tools like BOOMI to support the data sourcing and transformationMaintain high data quality standards, ensuring the accuracy, completeness and consistency of data across all systemsCollaborate with technical lead data and business analysts to design data models that enable advanced analytical and machine learning applicationsOptimize data structures for performance, scalability, ensuring efficient querying and reportingDevelop efficient database queries, indexing strategies and ensure data integrityMonitor the pipelines and infrastructure for performance, issues and bottlenecksContinuously optimize processes and infrastructure to improve performance, reduce costs and enhance scalabilityWork closely with cross-functional teams (business analysts, technical lead data and applications and business product owners) to develop end-to-end data solutionsParticipate in agile ceremonies such as sprint planning, daily standup and retrospectivesDocument data architecture, pipelines and workflows to ensure transparency and maintainabilitySupport UAT (User Acceptance Testing) to confirm solutions and reporting meet requirementsDocument and resolve discrepancies found during testingAnalyze tickets raised through service now and provide personalized support and guidance to usersManage proper communication with the users and assure them in a polite & calm wayResolve tickets taking into account implemented SLA'sGather feedback post-implementation to identify areas for improvementProactively identify inefficiencies in reporting and implement effective solutionsKeep up with industry trends and emerging technologies to suggest innovative practicesAnalyze current reports and processes to identify inefficiencies