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We are looking for a hands-on Azure Data Architect who is experienced with Azure data services, Databricks, and has worked with a data scientist team. Azure Data Architect.
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Microsoft Azure Cloud platform familiarity with Azure Data Lake Storage, Azure Databricks, Azure Data Factory, and Azure DevOps. Working with Microsoft Azure Cloud platform, including familiarity with other Azure services like Azure Data Lake Storage, Azure Databricks, Azure Data Factory, and Azure DevOps.
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Knowledge on technical competence with the latest technologies (Azure, Power BI, SQL Server, SSIS, SSRS, SSAS, Azure/AWS Cloud, Devops (ADO), Snowflake, Mobility & Security) Snowflake, Azure DevOps to build the test mechanisms and participate in CI/CD change release strategy.
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Required 10 Years Hands-on experience with Azure services such as Azure Data Factory, Azure Databricks, Azure Data Lake Storage, Azure SQL, Azure Synapse Required 5 Years Hands-on experience in SQL Server (SSIS, SSRS, SSAS), ORACLE, T-SQL Required 10 Years Hands-on experience in Azure SQL Database, Azure SQL Datawarehouse Required 7 Years Hands-on experience in deploying and maintaining large-scale data processing pipelines.
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Big Data Architecture, Cloud Data Platforms Architecture (Azure, Databricks, Snowflake), In-house Big Data Platforms (Hadoop, Teradata, Exadata) + Evaluate and Recommend tools and frameworks for various data management capabilities (i.e., Metadata, Lineage, Data Quality, Data Protection.
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Experience with the SDLC lifecycle & knowledge of relevant tools(Including but not limited to Azure DevOps, Jenkins, git, GitHub, Gitlab, Atlassian products). Hands on experience with Amazon Web Services, Google Cloud Platform, or Azure; namely choosing platform components and assembling application and runtime architecture.
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And technologies (Kafka, Solace, Change Data Capture, Node.js, Go, Containerization, PaaS) to build cloud-native solutions for the enterprise based on modern event driven architectures. Our enterprise projects often require us to bridge and / or transform legacy systems to cloud native modern to extend business functionality and unlock data, we use digital decoupling technique to slowly and methodically hollow out the existing core and reimagine functionality, capture and distribute data changes.
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In this role as a Transformation Foundation Architect you will be working alongside colleagues & client partners to solve some of the hardest problems in enterprise technology: Creating new foundations & core systems that enable the wider enterprise to operate on modern platforms in real-time.
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Experience designing and leading engineering systems and DevOps, i.e. managing the process of building software. All while maintaining the same strict control and quality assurance required of this space.
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This will include architecture & solution design, definition of specifications, creating & operating teams which set standards for development, and waste-walking the delivery quality to identify points of continuous improvement.
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Experience with distributed transactional data stores (CockroachDB, Spanner, ScyllaDB, Percona. We are partnering with our clients to move terabytes of meaningful data in seconds, and then have the engines to analyze and make decisions in minutes.
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We're doing this by leveraging the power of patterns (Anti-Corruption Layering, Strangler fig, Microservices, Event Sourcing, etc.) e.g. Docker, Podman, Kubernetes, K3S, Rancher)' Experience with microservices architectures and constituent technologies (Flask, gokit, Spring Cloud.
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Minimum 3+ years working as a technologist in an industry leading banking, payments, or capital markets firm OR has been in a key technical role in a demonstrably successful fintech product company. In a world where Just-In-Time logistics is at odds with volatile global economics & disasters, our clients are desperate to build upon their existing expertise with a stronger ability to adapt real-time to changing situations.
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Minimum 3+ years working as a technologist in an industry leading supplier chain manager, retail logistics, or cargo logistics organization. We are in the midst of helping clients fundamentally rethink how to transform 20+ years old systems and services in investment and core banking, payments, retirement and wealth management into modern cloud native.
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When the cost of redirecting cargo can fluctuate in minutes, management of supply chain and logistics must merge its short and long-term horizon. Experience with Event Driven Architectures and constituent technologies (e.g. Kafka, Kinesis) and patterns (Event Sourcing, etc.
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