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As a Senior Data Engineer, you will be responsible for the design, orchestration, monitoring, quality, accuracy, and security of data throughout its lifecycle, including data ingestion, collection, storage, processing, and analysis primarily using Snowflake, Fivetran and Astronomer.
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You are technically engaged with your team and their projects, not only guiding career growth and delivery efforts of the team, but establishing standard processes, driving quality, and encouraging reliability and governance standards Anticipate working with Python, SQL, Redshift, Airflow, and integrating data in AWS. You will also oversee developing new and enhancing existing data infrastructures along with aiding in scaling the company.
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The Sr. Supplier Quality Engineer will support the business in the areas of Supplier Project Management for assigned commodities, Supplier Assessments, Supplier Performance Improvement, Technical Data Interpretation/Analysis (engineering drawings, specifications, technical publications, purchase orders, etc.
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As a Data Quality and Informatics Manager at the Office of Vital Records within the Georgia Department of Public Health, you will join a dedicated group of public health professionals that help support the overall mission and vision of protecting lives of Georgian residents in a variety of ways.
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Experience in building and designing solutions for data warehouse and experience in working with large data sets in Oracle and Snowflake Demonstrable mastery of industry best practices in the data lifecycle, including data quality automation and tooling.
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Requirements At least 5 years’ experience in aerospace quality required Experience creating and performing audits, quality data analysis, key characteristics, SPC, control charts, Control Plans, Gage R&R, PPAP, Risk Analysis, Airbus GRAMS, TS16949, sampling plans, value stream maps.
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As a member of The Texas A&M University System, Texas A&M University-Texarkana is a comprehensive regional university that provides students with academically challenging, engaging, and rewarding educational experiences through quality teaching, scholarship, student support services, co-curricular programming, research, and service.
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You have proven ability as a full stack data scientist who develops, optimizes, and scales models for the production environment. Data science, machine learning, optimization models, PhD in Machine Learning, Computer Science, Information Technology, Operations Research, Statistics, Applied Mathematics, Econometrics, Successful completion of one or more assessments in Python, Spark, Scala, or R, Using open source frameworks (for example, scikit learn, tensorflow, torch.
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Data Integrity ("DI") is responsible for data management, data governance, and data quality consumed by the functions within FRM. DI leverages tools to manage data quality based on logical rules and thresholds across one or more of the following dimensions: accuracy, completeness, conformity, consistency, coverage, duplication and timeliness.
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Reporting to the Enterprise Data Manager, the Master Data Specialist will assist in data management, governance and data quality of master data requirements with other functional data owners.
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Own the data mapping, business logic, transformations, and data quality in collaboration with business partners such as Sales Operations, Finance, Field Sales, Data Engineering teams.
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Familiarity with the technology stack available in the industry for metadata management: Data Governance, Data Quality, MDM, Lineage, Data Catalog etc. Extensive hands-on experience implementing data migration and data processing using AWS services: VPC/SG, EC2, S3, Autoscaling, CloudFormation, LakeFormation, DMS, Kinesis, Kafka, Nifi, CDC processing Redshift, Snowflake, RDS, Aurora, Neptune, DynamoDB, Cloudtrail, CloudWatch, Docker, Lambda, Spark, Glue, Sage Maker, AI/Client, API GW, etc.
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Specifically this role will lead and contribute towards building aspects of centralized event driven data streaming platform and services focused on LSE(Large Scale Events) prevention and mitigation, data center operations, and hardware quality management for Oracle Cloud Infrastructure (OCI.
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2-3 years of recent, progressive experience and demonstrable technical expertise in enterprise-class data analytics solutions and services; this includes advanced skills in areas such as Data Modeling, Integration, Storage, Indexing, Security, Logging, Data Quality, Master Data Management and Archiving.
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The mission of Enrollment Management is to work in partnership with the University community to deliver high-quality service to facilitate the recruitment, retention, and graduation of a diverse student population and strive to provide service, leadership, and transitional student support at Norfolk State University.
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data quality jobs Title: data scientist Company: Amazon
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