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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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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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Knowledge in using data quality and data governance tools such as Informatica Data Quality and Informatica Data Catalog. ·Understanding of dimensional modeling, relational modeling, business process relationships, and best practices in enterprise data and data warehouse design.
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Remote Data Quality Engineer needs 8 years experience. Snowflake or other data warehouse experience. Help define data governance policies and support data-versioning processes.
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Must have exposure to reporting tools, database services (SAP HANA, SSIS, Apache Nifi), or data modeling, warehouse, and virtual universe design. experience in data warehouse, data mart, or other big data settings.
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Transport incoming freight to inventory from staging areas for storage in the appropriate slots, on the multi-level racks in the assigned warehouse area and replenish / re-stock pick slots in a timely manner ensuring all safety, Good Manufacturing Practices (GMP) and quality standards are met and to maintain the efficient flow of the production process.
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The position is responsible for the architecture, oversight, build, enhancements, and maintenance of the Enterprise Data Warehouse and end-to-end BI solution. The role will work closely with a cross functional business stakeholders, business analysts, and developers on a regular basis to collaborate, gather requirements and to oversee the building and maintenance of the Enterprise Data Warehouse and BI solution.
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Familiarity with data management technologies and tools, including data governance platforms, metadata management systems, data quality tools, and master data management solutions.
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The SAP Supply Chain Analyst will be responsible for implementing and enhancing the organization’s SAP modules focused on Material Management (MM), Production Planning (PP), Quality Management (QM), Warehouse Management (WM) and Plant Maintenance (PM.
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Develops, implements, and monitors annual goals, objectives, and policies related to clinical quality data in order to ensure data integrity and accuracy and timeliness of reporting.
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Leverage Renters Warehouse Marketplace tools to identify market specific trends and high yield properties for asset diversification. Face to face and phone sales of our high-quality tenant placement and monthly property management system and services.
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Enterprise Data Warehouse Architect. Strong experience designing and architecting ETL processes and have hands-on experience leading data extraction, data cleansing, data mapping, data transformation, data loading, and data validation using tools like SSIS, Informatica.
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Work with developing and deploying data infrastructure and integrations in the cloud including data warehouse like snowflake, redshift etc. Improve data quality, data validation layers to help the BI solutions highlight rich data.
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3+ years' experience in data engineering & data system development, designing & deploying ETL processes, managing data warehouse solutions, deploying Machine Learning models, and overseeing data quality.
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Use QuerySurge ETL testing process to mimic the ETL development process by testing data from point-to-point along the data warehouse lifecycle, providing 100% coverage of data mappings.
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data quality warehouse jobs in Dallas, CO, Canada
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