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Understanding of enterprise data management concepts (Data Governance, Data Engineering, Data Science, Data Lake, Data Warehouse, Data Sharing, Data Applications.
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This role will provide expertise to support the development of a Big Data / Data Lake system architecture that supports enterprise data operations for the District of Columbia government, including the Internet of Things (IoT) / Smart City projects, enterprise data warehouse, the open data portal, and data science applications.
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Design and implement cloud-based solutions using Microsoft Fabric technology stack and Microsoft SQL Server, including Azure Synapse Data Engineering, Azure Data Factory, Synapse Data Science, Synapse Data Warehouse, Synapse Real-Time Analytics, Onelake, and Power BI, with a focus on data migration, movement, and transformation.
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Understand & perform SAP CRM & hybris configuration including Customer/User master data, Catalog Management, Content Management, Workflows, Promotions/Vouchers, Shopping Cart & checkout, Search and guided navigation, Returns Management, Payments, Customer specific Pricing, Sync & Async Order Mgmt with SAP etc.
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RRP maintains an integrated data warehouse that stores return data and taxpayer information for data mining, runtime scoring, scheme development and research. Project Manager / Scrum Master.
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Design, develop and manage Lenox Cloud based (AZURE) in-house data warehouse, reporting and dashboard platforms, integrations, and interfaces between D365, legacy Lenox data and 3rd party vendor software systems.
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Design, develop and manage Cloud based (AZURE) in-house data warehouse, reporting and dashboard platforms, integrations, and interfaces between D365, legacy data and 3rd party vendor software systems.
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Participate in development and production support of non-ETL applications like Master Data Management (MDM), Qlik Sense (for BI Analytics), TIDAL (Enterprise Job Scheduler), etc. This developer will provide support in all aspects of data movement for a data warehouse environment (On-Prem to/from cloud) with a strong ETL focus on building and maintaining the Enterprise Operational Data Store (ODS) built on the Snowflake Data Cloud.
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SPECIALIZATIONAt Mindtree, we work on modernizing the on-premises legacy dat a warehouses to cloud based data warehouse solutions like AWS RedShift, Azure Synapse, Google BigQuery, and Snowflake.
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This candidate must be an experienced BI developer who is also able to manage requirements gathering and client interactions along with being proficient in common BI tools like QlikView, Qlik Sense, Tableau and Power BI. The candidate will be expected to work closely with Master Data Management, Data Warehouse, and Sales Operations teams to ensure overall project success.
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Understanding of enterprise data concepts such as Master Data Management and Enterprise Data Warehouse, experience with MDM standards; Understanding and experience with modern cloud data warehouse and engineering for one or more of the following cloud providers Azure (Synapse, Dynamo, Cosmos, Azure ML, Power BI), AWS (Redshift, Sagemaker), GCP (BigQuery, Vertex, Cognitive Services), Snowflake, Tableau.
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The primary focus for this role will be a green fields development of a modern data platform spanning source ERPs & CRMs, the Enterprise Data Hub (Lake & Warehouse), Data Governance & Master Data Management, and Reporting & Analytics certified datasets.
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Design and implement Informatica Master Data Management (MDM) solutions. Manage the application design, development and implementation on Informatica Data Quality (IDQ), WSDL, SOAP Web services; Clean, Integration, Import, Data analysis, and Export using Informatica ETL tools and developing the Data Warehouse/Data Mart system using various ETL tools (Informatica PowerCenter/Power Exchange 9.5.
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Strong Knowledge of Data Warehouses/Lakehouse architectures, Master Data Management, Data Quality Management, Data Integration, and Data Warehouse architecture.
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Implement best practices for data governance, data security, and data quality assurance within the data warehouse and application data environments. Collaborate with senior leadership across global platforms leading local and global data quality and Master Data Management setup, implementation, and practices.
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