Intelligent Data Platform
6 months ago
Come join us
As a Data Engineering Manager at Avanade, you will use comprehensive modern data engineering techniques and methods to support business decisions for Avanade clients. You can collect, aggregate, and analyse structured and unstructured data from multiple internal and external sources and patterns, insights, and trends to decision-makers. Your goal is to support the use of data-driven insights to help our clients achieve business outcomes and objectives. In this role, you will collect, aggregate, store, and reconcile data in support of a client business decisions. You 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. You will be 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.
Skills and experiences
- you likely have 5+ years of relevant professional experience
- You have 3+ years managing & leadership of 3 or more staff in technology consulting or industry.
- You possess the ability to manage and lead small multidisciplinary teams.
- Demonstrated experience of turning business use cases and requirements to technical solutions.
- Strong team collaboration and experience working with remote teams.
Technical skills
- Experience in business processing mapping of data and analytics solutions.
- Ability to conduct data profiling, cataloguing, and mapping for technical design and construction of technical data flows.
- Mastery of Python,.NET C# and T-SQL with the familiarity of U-SQL is required.
- Knowledge of Azure Data Factory, Azure Data Lake, Azure Synapse Analytics, Azure SQL, Azure Databricks, Azure App Service is required.
- Knowledge of Dev-Ops processes (including CI/CD) and Infrastructure as code fundamentals.
- Working experience with Visual Studio, PowerShell Scripting, and Azure Resource Manager (ARM) templates.
- Experience with Git/TFS/Azure DevOps is a must.
- Knowledge of Lambda and Kappa architecture patterns.
- Knowledge of Master Data Management (MDM) and Data Quality tools and processes.
- Microsoft Fabric, Azure IoT Operations, Azure Cosmos DB, Azure Stream Analytics is a plus.
- Experience preparing data for use in Azure AI Services (Azure ML, Azure OpenAI, Azure Computer Vision, etc.) is a plus.
- Designing and building data pipelines using streams of IoT data is a plus.
About you
- Able to create and implement work plans for assigned projects, programs, and clients against established operational objectives; supports translation of group strategy into objectives and work plans.
- can operational leadership for large-scale, strategically critical work efforts requiring significant coordination.
- Can solve problems that span work domains and require continual alignment to internal and external business issues to deliver expected results across groups.
- You have a wide latitude in approach to work, including the ability to reshape work plans, guided by professional best practices and domain expertise.
- Your work efforts have a significant impact on near
- and medium-term Avanade and client operations. If client-facing, should contribute to client-relationship and sales outcomes.
- You work independently, with occasional validation of work efforts against strategic and operational objectives. Significant latitude in judgment & approach.
- You are able to mentor and manage the work efforts of more junior colleagues and team members as required by various workstreams; may formally supervise work of project teams.
What you'll do
- Translate business requirements to technical solutions leveraging strong business acumen.
- Analyse current business practices, processes and procedures as well as identifying future business opportunities for leveraging Microsoft Azure Data & AI services.
- Support the planning and implementation of data design services, providing sizing and configuration assistance and performing needs assessments.
- Deliver end-to-end data architectures for transformations and modernisations of enterprise data solutions using Azure cloud data technologies.
- Design and build modern data pipelines and data streams.
- Design and build data service APIs.
- Develop and maintain data warehouse schematics, layouts, architectures and relational/non-relational databases for data access, Advanced Analytics and AI.
- Expose data to end users using Power BI, Azure API Apps or any other modern visualisation platform or experience.
- Implement effective metrics and monitoring processes
- Travel as needed.
Enjoy your career
Some of the best things about working at Avanade
- Opportunity to work for Microsoft’s Global Alliance Partner of the Year (14 years in a row), with exceptional development and training (minimum 80 hours per year for training and paid certifications)
- Real-time
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