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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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2+ years of experience in cloud ETL tools (Azure data factory, AWS glue) withExperience working with data warehouse tools (Snowflake, Databricks, Redshift etc.) Validate data sources, extraction, transformation logic and upload of data into target tables ( ETL pipelines)Design, develop, and implement comprehensive data quality tests to identify anomalies, inconsistencies, and data integrity issues for new product development initiatives, product changes, policy changes, and database changesWork with other engineers and support teams to identify, log, root-cause, triage, prioritize, and drive resolution of defects.
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Our engineering, cloud, data, experience design, and talent solution capabilities accelerate transformation and impact for enterprise clients. Proven experience as a QA Architect, Technical Lead, or similar role, with a focus on quality engineering tooling and frameworks.
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Assist in the maintenance of Salesforce Marketing Cloud including Email Studio, Journey Builder, Automation Studio, Data Extensions, SQL, AMPscript, SSJS. Design, develop, test, and deploy high-quality Salesforce Marketing Cloud solutions.
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C C# Python JavaScript React & Angular DevOps and Cloud Engineering Networking IAC GCP AWS Azure Data Engineering & Analysis Data Pipelining RPA PMO & Business Analysis Technical Analysis If you have strong experience in any of the above this is what we are looking for.
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The Principal IT Security Engineer is a valued member of the Protect squad and is a Subject Matter Expert (SME) for Cybersecurity capabilities in at least two or more of the following security domains such as Network Security, Data Protection, Container Security, Endpoint Security, and Cloud Security.
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Senior Java FSE (Onsite) At Cognizant Digital Engineering, a small cross functional team comprised of a Product Manager, an Architect, Full-Stack Developers, UI/UX designers and Big Data analysts builds higher quality software faster siloed individuals working independently.
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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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OverviewReporting to Senior Director, Data and AI platform Engineering, the Director of Data Governance Platform Ops will oversee all aspects of Data and ML Platform including the development and implementation of strategies to optimize Platform ecosystem, ensure data integrity, enhance data quality, standardization and accessibility.
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Expanding, scaling, and standardizing the core foundational principles through consistent observability, lineage, data quality, logging, and alerting across all engineering teams in the Data organization is imperative to the creation of a single pane of glass.
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Focus on data modeling, data quality, data integration, and data governance to optimize data storage, retrieval, and analysis. Experience with cloud-based data platforms (e.g., AWS, Azure, Google Cloud Platform.
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GCP Experience - BigQuery, Cloud SQL, Python, Cloud composer/Airflow , Cloud Storage & Dataflow/Data Fusion. Headquartered in Nashville, Emids helps bridge critical gaps in providing accessible, affordable, and high-quality healthcare by providing digital transformation services, custom application development, data engineering, business intelligence solutions, and specialized consulting services to all parts of the healthcare ecosystem.
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Should be well versed with the Data flow and Test Strategy for Cloud/ On Prem ETL Testing." Extensive experience as Data Engineer with Python Language and Cloud Technologies (AWS preferably.
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Detailed understanding of the Cloud Infrastructure for building & maintaining large data enterprise in cloud platforms like GCP (BigQuery, BigTable, DataFlow, DataProc, DataPrep, Pub/Sub, Machine Learning.
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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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