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Expertise in data technologies, such as relational databases (e.g., Oracle, PostgreSQL, SQL Server), cloud data lakes / warehouses (e.g., Snowflake, Redshift), data pipelining (e.g., Spark), data streaming (e.g., Kafka), and cloud services (e.g., AWS, Azure.
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Cloud Consultant – Cloud Architect – GCP – Google Cloud – Azure – AWS – Amazon Web Services – Cloud Strategy – Azure Certified – Azure Architect – AWS Architect – AWS Consultant – Public Cloud – Containers – Containerization – DevOps - Automation - Application Architect.
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Hands-on experience with ETL/ELT processes, including tools like Apache Airflow, AWS Glue, Azure Data Factory, or similar. Design and implement data pipelines using tools such as AWS Glue, Azure Data Factory, or Informatica to load data into Snowflake.
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Microsoft Azure Solutions Architect, AWS Solution Architect Professional, Google Cloud Architect, or Oracle Cloud Infrastructure Certification. 10+ years of experience in Cloud architecture with Cloud environments, including AWS, Azure, Oracle Cloud, or Google Cloud in FedRAMP and FedRAMP+ environments.
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We specialise on using the latest frameworks, reference architectures and technologies using AWS, Azure and GCP and continue to grow and are looking for talented individuals who want to increase the value of the data and analytics in organisations you have come to the right place.
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Experience with cloud platforms (AWS, Azure, GCP) and data warehousing solutions (e.g., Snowflake, BigQuery). We are seeking an experienced Data Architect to lead the design, development, and implementation of our data architecture, with a strong emphasis on data engineering pipelines, data lineage, data governance, and banking risk or regulatory reporting.
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Experience utilizing Microsoft Data & Analytics Services (like Azure Data Lake, Azure Data Factory, Azure Databricks etc) 5 or more years managing Master Data Management delivery for Product, Supplier or location domain using tools like Stibo or IBM Infosphere or SAP.
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5+ years of experience with Data and Analytics Platforms on public clouds and/or Azure such as Databricks, Synapse, Fabric, Snowflake or Big Query. Experience with scalable architectures using Azure App Service, API management, serverless technologies, container orchestration (e.g., AKS, Kubernetes, Red Hat OpenShift etc.
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Nice to have: Flink EMR Hudi AWS-Redshift ECS/EKS Glue Catalog at least Solution Architect Associate Developer or Data Engineering certification preferred. Preferred at least AWS Solution Architect Associate Developer or Data Engineering certification.
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Ready to utilize your engineering management experience to lead a team of talented data engineers and drive innovative solutions on cutting-edge platforms like Azure and Snowflake.
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Azure Data Architect. Designing enterprise data platforms on cloud (Azure/AWS/GCP) including services like ETL pipelines, Data Modeling, Visualization, Data Governance, RDM/MDM, etc.
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Low latency processing in streaming application enterprise applications size them up devops terraform ansible Jenkins Kubernetes helm and ci/cd pipeline must come from a financial firm exchange or event-driven environment 10 year cloud on prem degree data streaming 10 years java applications knowledge.
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Leading the configuration of OneStream including but not limited to : Workflows, Data Sources, Transformation Rules, Business Rules and Calculations, Dashboards, Data Management Sequences, Cube / Master Data, System Security.
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Leading core Accounting areas including Performance Management (executive dashboards management reporting, planning, budgeting & forecasting, analytics & decision support); Record-to-Report (financial close, consolidation, financial reporting, Fixed Assets, Inventory, Payroll); Order-to-Cash (order entry, customer credit, invoicing, accounts receivable, collections); and, Procure-to-Pay (procurement, accounts payable, invoicing.
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Leading the design, build, migration, and testing of OneStream for multi-dimensional data models (dimensions, hierarchies, attributes); input template and report build; Data Integration and Extract Transform and Load (ETL) concepts; understanding of calcs (allocation, top-down spreading, currencies); and, workflow, data permissions and security.
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