Job Description

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Design and implement projects focused on collecting, aggregating, storing, reconciling, and making data accessible from disparate sources to enable analysis and decision making. Use comprehensive modern data engineer techniques and methods with Advanced Analytics to support business decisions for Avanade clients. Can collect, aggregate, and analyze structured/unstructured data from multiple internal and external sources and patterns, insights, and trends to decision-makers. Support the use of data-driven insights to help our Clients achieve business outcomes and objectives. Collect, aggregate, store, and reconcile data in support of Client business decisions. will help design and build data pipelines, data streams, reporting tools, information dashboards, data service APIs, data generators and other end-user information portals and insight tools. As a critical part of the data supply chain, ensuring that stakeholders can access and manipulate data for routine and ad hoc analysis to drive business outcomes using Advanced Analytics. Translate business requirements to technical solutions leveraging strong business acumen. Analyze current business practices, processes and procedures as well as identifying future business opportunities for leveraging Microsoft Azure Data & Analytics PaaS Services. Support the planning and implementation of data design services, providing sizing and configuration assistance and performing needs assessments. Deliver of architectures for transformations and modernizations of enterprise data solutions using Azure cloud data technologies. Design and Build Modern Data Pipelines and Data Streams. Develop and maintain data warehouse schematics, layouts, architectures and relational/non-relational databases for data access and Advanced Analytics. Implement effective metrics and monitoring processes.

Requirements:

Demonstrated experience of turning business use cases and requirements to technical solutions. Experience in business processing mapping of data and analytics solutions. Ability to conduct data profiling, cataloging, and mapping for technical design and construction of technical data flows. The ability to apply such methods to solve busines s problems using one or more Azure Data and Analytics services in combination with building data pipelines, data streams, and system integration. Mastery of Python and SQL is required Knowledge of Azure Databricks, Azure Data Lake, Azure SQL Server, and Azure SQL is required. Experience preparing data and transforming Data. Experience in Data Migration is a plus. Demonstrated experience preparing data and building data pipelines Strong team collaboration and experience working with remote teams. Knowledge of Dev-Ops processes (including CI/CD) and Infrastructure as code fundamentals. Experience with Git/TFS/VSTS is a must. Travel as needed. * Banking domain exp will be added advantage