Job Description

About TredenceJob SummaryThe role requires experience in Azure core technologies - Azure Data Lake Storage, Azure Data Lake Analytics, Azure Cosmos, Azure Data Factory, Azure SQL Database, Azure HDInsight, SQL data warehouse.You Have: * Minimum 3 years of software development experience

• Bachelor\'s and/or Master\'s degree in computer science
• Strong Consulting skills in data management including data governance, data quality, security, data integration, processing and provisioning
• Led and delivered data management projects in Azure Cloud
• Translated complex analytical requirements into technical design including data models, ETLs and Dashboards / Reports
• Experience deploying dashboards and self-service analytics solutions on both relational and non-relational databases
• Experience with different computing paradigms in databases such as In-Memory, Distributed, Massively Parallel Processing
• Successfully delivered large scale data management initiatives covering Plan, Design, Build and Deploy phases leveraging different delivery methodologies including Agile
• Strong knowledge of continuous integration, static code analysis and test-driven development
• Experience in delivering projects in a highly collaborative delivery model with teams at onsite and offshore
• Must have Excellent analytical and problem-solving skills
• Delivered change management initiatives focused on driving data platforms adoption across the enterprise
• Strong verbal and written communications skills are a must, as well as the ability to work effectively across internal and external organizations

• Translate functional requirements into technical design
• Interact with clients and internal stakeholders to understand the data and platform requirements in detai and determine core Azure services needed to fulfill the technical design
• Design, Develop and Deliver data integration interfaces in ADF and Azure Databricks
• Design, Develop and Deliver data provisioning interfaces to fulfill consumption needs
• Deliver data models on Azure platform, it could be on Azure Cosmos, SQL DW / Synapase or SQL
• Advise clients on ML Engineering and deploying ML Ops at Scale on AKS
• Automate core activities to minimize the delivery lead times and improve the overall quality
• Optimize platform cost by selecting right platform services and architecting the solution in a cost effective manner
• Deploy Azure DevOps and CI CD processes
• Deploy logging and monitoring across the different integration points for critical alerts

Tredence