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Ensure excellent data governance and data quality, metadata, and lineage. Proven experience with enterprise scale oversight of Data Quality, Data Governance, and integration of third party data assets.
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Preferred Qualifications:Professional certifications in cloud computing (e.g., AWS Certified Solutions Architect, Microsoft Certified Azure Solutions Architect, Azure Data Engineer, SnowPro Core) and/or big data technologies.
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Acquire data from a variety of different sources, getting it in the right formats, assuring that it adheres to data quality standards, and assuring that users can get that data quickly.
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Azure certifications (e.g., Azure Administrator, Azure Data Engineer) are a plus. Strong proficiency in PySpark and experience with Databricks for data engineering and analytics." Develop and maintain data pipelines using Databricks (PySpark) for data ingestion, processing, and analysis.
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Ability to remain up to date with industry standards and technological advancements that will enhance data quality and reliability to advance strategic initiatives. Advanced technical certifications: AWS Certified Cloud Practitioner, Solutions Architect, Certified Developer, or SysOps Administrator certifications; RHEL RHCSA/RHCE; AWS Certified Data Analytics, DASCA Big Data Engineering and Analytics preferred.
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The Data Architect will implement architectural standards, frameworks, and solutions across Data Engineering, Data Quality, and Infrastructure teams as technology emerges and as the business requires.
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DataAnnotation is committed to creating quality AI. Join our team to help train AI chatbots while gaining the flexibility of remote work and choosing your own schedule. Note: Data Annotation payment is made via PayPal. We will never ask for any money from you.
$20 an hourRemoteExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Relevant Terms: IP, intellectual property, technology transactions, agreements, data privacy, cyber-security, privacy rights, data security, software, patents, licensing, license contracts, SaaS, CIPP, Certified Information Privacy Professional, due diligence, M&A, mergers and acquisitions.
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The multidimensional nature of our sleep data, and our partnerships with the world’s leading partners in sleep, help us create actionable sleep health and wellness solutions that improve millions of lives through proven quality sleep.
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Streaming & Data pubilishing tools - HEC, Kafka, DD(Data Distributor), Cassandra, Autosys. Cobol, DB2, CICS, JCL, VSAM, Git / Code Repository usage, CI/CD, Jenkins Pipeline, JIRA, Agile Methodology, zOS Connect.
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Project responsibilities may include water quality sampling, survey, and field data collection at wells or project sites; erosion control inspection; construction observation; sampling equipment preparation and monitoring; data reduction; spreadsheet preparation; CADD; assistance with construction plans and specifications; and assistance with report preparation.
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Drive the strategy and execution for Clinical Informatics information sharing initiatives including evaluating data quality tools, defining best practices for clinical content translation for automated healthcare workflow optimization.
$186,650 a yearFull-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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Data governance and data management experience, including ETL solutions, data catalogs, and data quality/profiling tools, including tools such as Microsoft Purview, Collibra, Alation, and Informatica.
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Collaborate with IT and HR Technology teams to seamlessly integrate data sources, emphasizing data quality. Uphold and champion a robust framework for data governance, encompassing data privacy, security, and quality measures.
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Assist in ensuring proper data governance (quality security, etc. Experience with Cloud-based data services and solutions (Azure Synapse / Data Lake, AWS RedShift, Snowflake, GCP Big Query.
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data quality jobs Title: data architect in Minneapolis, MN
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