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Experience with more than one data cataloguing, data governance, data quality, data privacy and master data management (Informatica, Ataccama, Collibra, Alation, Global Ids, Big Id, etc.
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Use data science methods, including but not limited to Artificial Intelligence/Machine Learning (AI/ML) approaches, to perform data processing (e.g. filtering), feature recognition, alarm threshold determination, pattern matching, statistical trending, scoring of detection quality, and integration of other information into decision making.
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Minimum of 2 years of hands-on experience implementing Collibra data catalog, data governance, data lineage, data privacy, and data quality capabilities. Help define data quality metrics associated with the quality of data ingested into Collibra.
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Familiarity with data governance practices, data quality frameworks, and data security principles. A day in the life of a Data Engineer states with building and delivering high quality data architectures and pipelines that support clients, business analysts, and data scientists.
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Work with the Database Architect to define data management, data governance, and data quality assurance requirements to manage the entire data processing life cycle. Analyze data to ensure it meets specific data management, data governance, and data quality assurance requirements before processing the data within the Data Lake and data warehouse.
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5+ years of experience with Microsoft Big Data solutions with experience in SQL Server (2017 or higher), Azure SQL technologies (Azure Data Lake Gen2, Azure Databricks, Azure Databricks Unity Catalog, Databricks API, Databricks Row-level security, Databricks error logging, Azure SQL Server, and Azure Analysis Services), and a broad experience with related tools (CDC, Columnstore Index, In-memory Table, SSAS Tabular, DAX, T-SQL, SSIS.
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Mechanical Quality Inspectors perform detailed mechanical inspection of products for compliance to the technical data package via in-process, finishing and final inspection phases. Identify and communicate continuous improvement opportunities for the quality program for customers internal and external.
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Coordinate with Program Leads, Biostatistics, Data Management, Medical Affairs, Pharmacovigilance to develop/implement Phase appropriate procedures to ensure consistency and quality with respect to Clinical Trial support activities.
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Keep abreast of industry trends, regulations, and technological advancements related to provider data management, and recommend innovative solutions to improve data quality and efficiency.
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Will be responsible for managing and developing a small team of technicians to support the lead in implementing new fruit quality assays, scaling these in capacity, quality and turn-around time, and then managing new and existing production phenotyping workstreams on fruit across all berry crops to generate fruit quality phenotypes for plant breeding, molecular genetics, sensory, and postharvest needs, including data that fuels genomic prediction models and variety advancement decisions.
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Should have in depth understanding on Data Warehousing, Master Data Management (MDM), Data Quality, Data Lineage, Data Modeling, Data Profiling and Data Policy and handled Data Governance programs.
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Compiles and stores/retains quality data in a consistent, organized and easily retrievable manner. For 60 years, Quality Metalcraft (QMC) and Experi-Metal Inc (EMI) have been leaders in innovative structural solutions for the mobility industry.
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A baccalaureate degree from an accredited college or university and four years of data processing experience; two years of which must have been in internal control/quality assurance or computer science.
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Utilize dbt to manage data transformation workflows and ensure data quality and consistency across all platforms. The Data Engineer needs to be proficient with Matillion, Snowflake, and dbt in a hybrid Azure cloud environment.
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Proficient in data analysis/visualization tools (Tableau) preferred. Performs inspections and sets quality assurance testing models for analysis of raw materials, materials in process, and finished products.
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data quality jobs Title: analyst Company: Blackbaud in New York, NY
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