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We are building an interactive analytical platform, defining and tracking key business metrics, helping front office in day-to-day business decisions across Europe, APAC, and Americas, As a Data Engineer you will be part of product team, responsible for all steps of bringing high-quality data to end users: ETL processes, data analysis and preparation, platform development and evolution.
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Experience and detailed knowledge with ETL, Data Quality, metadata management, Data Engineering, streaming data loads. Good understanding of data warehousing concepts, data integration, data quality and data architecture.
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Ability to automate test scripts for a data management platform supporting ETL, MDM, data quality and business intelligence. Ability to perform functional and non-functional testing for platform supporting ETL, MDM, data quality and business intelligence - 1 year.
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Understanding of Data warehousing and transformation methods, lineage documentation, ETL processes, Knowledge of data spreadsheets and databases, Data Analysis, Data Quality, Data Governance, Metadata management, Data Profiling, Data mapping, Data validation, Business Analytics, BI reporting.
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7+ Years of Software Quality Assurance experience on enterprise level applications which includes Data Warehouse Testing. Should have exposure to large data sets and understand Data Quality Framework.
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Hands-on coding in ETL, preferably Azure Data Factory (or SSIS) Utilizing Scrum methodology to plan and execute data quality projects, including sprint planning, ceremonies, and user story development.
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O Develop and Maintain ETL processes using Azure Data Factory for extracting and transforming data from Redknee Charging. o Develop and Perform Data validation and quality checks to ensure accuracy and completeness of the data.
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DataSoft Technologies, Inc. is seeking a IT Lead SAS Programmer to join our client in Raleigh, NC. This position is responsible for quality assurance of data and interaction with division/federal staff, vendors and stakeholders to resolve data quality issues and manage all data extracts based on the policies and standards.
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In this role, the Data Engineer will be a member of the RISC team and will be a design, develop, and maintain scalable and efficient data pipelines for extracting, transforming, and loading (ETL) data from various sources into our data warehouse leveraging AWS, Databricks, Python and SQL technologies.
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Extensive experience (5+ years) in Business Intelligence design and development with corporate BI solutions such as data warehousing, ETL, reporting dashboards and predictive analytics.
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Experience in data architecture, data quality, metadata management, ETL, analytics, reporting, and database administration. Update Data Engineering architecture. Understanding of data science, machine learning concepts.
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7+ years of experience in business intelligence, ELT, data modeling, data warehousing, master data management, data science, data quality, and data engineering disciplines.
$136,300 - $200,700 a yearFull-timeExpandApply NowActive JobUpdated 14 days ago - UpvoteDownvoteShare Job
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Risk Identification and Mitigation: Proactively identify and mitigate risks associated with data migration, maintaining data quality standards and governance throughout the migration process.
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Assist ETL team by analyzing potential data sources and identifying data quality issues. Must have a passion for data visualization with an understanding of developing creative and unique prototypes for visualization.
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Drive data accuracy, employing ETL processes and data quality tools. Trouble-shoot and resolve data-related issues applying analytics, pragmatism and teamworkGeneral OperationsFacilitate Scrum ceremonies and lead all aspects of software life-cycle management.
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etl data quality jobs in Raleigh, NC
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