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Net, C#, Power BI, Machine Learning, Azure Data Factory, RedShift, UiPath, Cloud, RPA, AWS, Redshift, Python, Data Modeling, SQL, SSIS, SSAS, SSRS, Power Automate, Power Platform, AI Builder, Power Apps, Blue Prism, Automation Anywhere, UiPath Studio, Orchestrator, ERP, QuickBooks, SAP, NetSuite, Oracle, API, JSON, XML, Web Services, SOAP, Postman, Fiddler, Integration, Custom Activities, DLL, Insight, Automation Hub, Task Capture.
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Focus on data modeling, data quality, data integration, and data governance to optimize data storage, retrieval, and analysis. Familiarity with big data technologies (e.g., Hadoop, Spark, Kafka.
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In this role you will work in an Agile, highly collaborative, cross-functional environment where we strive to build Quality in at every step of the SDLC.Responsibilities Write complex SQL queries to retrieve, analyze and validate data based on the business rulesInterpret and analyze data using SQL from various source systems to support data integration and reporting needs.
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KEY SUCCESS FACTORS Must have at least 10 years of experience in Data Integration using integration tools like DBT and ADFMust have 2+ years of experience working with Snowflake, preferably in Azure cloudMust have at least 10 years of experience in database development using SQL Must have at least 5 years of experience in architecture and design of Enterprise Data Warehouse environments.
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In-depth understanding of MDM concepts, data modeling, data integration, data quality, and data governance principles. Lead the development and customization of MDM tools and platforms, including data cleansing, matching, merging, and data quality monitoring.
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Experience with continuous integration/continuous deployment (CI/CD) pipelines and related tools (e.g., Jenkins, GitLab CI, Azure DevOps). Proven experience as a QA Architect, Technical Lead, or similar role, with a focus on quality engineering tooling and frameworks.
$140,000 a yearFull-timeExpandApply NowActive JobUpdated 4 days ago - UpvoteDownvoteShare Job
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Bachelor’s degree 7 years’ experience as business analyst focused on enterprise applications and IT systems Business process expertise desired in the areas of Accounting and Billing, Finance/Controlling, HR/Benefits/Payroll, Procurement, Contract Management, Quality Assurance, Legal/Regulatory Experience in business case development, requirements gathering and definition, gap analysis, process mapping, solution design.
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As part of NTT DATA, a $30 billion trusted global innovator with a combined global reach of over 80 countries, we help clients transform through business and technology consulting, industry and digital solutions, applications development and management, managed edge-to-cloud infrastructure services, BPO, systems integration and global data centers.
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Provide roadmap for comprehensive unit and integration tests to ensure the quality and reliability of MuleSoft applications, MQTT-based communication protocols for real-time, efficient data exchange between diverse IoT devices and MuleSoft.
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Troubleshoot and resolve data integration issues to maintain data quality. Design, develop, and implement data integration solutions to move data between disparate systems (Database is Snowflake &Snowflake.
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You will have a proven background in data stewardship, data modeling, data management, data governance, and data integration practices, enabling you to guide teams in delivering high-quality, performant, and robust solutions.
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Demonstrating proven extensive abilities and success as a team leader:Creating a positive environment by monitoring workloads of the team while meeting client expectations and respecting the work-life quality of team members;Providing candid, meaningful feedback in a timely manner; and,Keeping leadership informed of progress and issues.
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Manage data quality & consolidation across multiple batched and/or streaming ingestion sources. Strong knowledge of ETL and experience utilizing different tech stacks - SQL Service Integration Services (SSIS), SQL Server Reporting Services (SSRS), Power BI, Azure, Snowflake, Alteryx Designer and Server Excel, etc.
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Improve data quality, data validation layers to help the BI solutions highlight rich data. We are seeking a skilled Software Engineer with experience in design and development of infrastructure using Java, Spring Framework modules, Spring boot, Micro Services, AWS, Kafka, Docker, cloud-based java applications, JSP, Hibernate, Web services (soap and Rest), Maven, Unit Testing (JUnit), MySQL, Oracle, Jenkins, code quality tool Sonar.
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Informatica Intelligent Cloud Services (IICS): Expertise in leveraging IICS for cloud-based data integration, data quality, and master data management solutions. Power BI: Familiarity with Microsoft Power BI for data visualization, reporting, and dashboarding.
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data quality integration jobs in Dallas, NY, Arizona
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