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Knowledge in languages like Python, R, SQL, etc., for custom data quality checks or integrations. Experience with cloud-based data quality solutions or platforms such as AWS, Azure, Google Cloud, etc.
$104,300 - $173,800 a yearExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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A keen understanding of industry best-practice around standards, quality and continuous improvement in the field of Data Engineering. You’ll make a real impact by taking an active role in the team’s Agile Development practices, technical decision making and development, generating value and continuously striving to improve the quality and reliability of our data and processes.
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Summary: This is a Data Quality Analyst role for the Enterprise Data Strategy team, focused on the PROVIDER data domain. Collaborate with stakeholders to ensure data quality best practices are implemented across enterprise data assets.
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Meta is seeking a BMS Quality Manager to join our North American Data Center Design, Engineering & Construction team. Work with project level Construction Managers, QA/QC Site leads and General Contractor's to ensure creation, accuracy and maintenance of logic driven schedule for construction, commissioning, and packaged equipment BMS activities while leveraging this data to identify early finish dates for detailed design document delivery.
$143,000 - $199,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Ensures vendor data quality is maintained to GPI Data Governance policies and procedures in SAP and other receiving systems using Information Steward and Data Services (ISDS) and other data quality management tools – the role serves as the ultimate “Gate Keeper” for vendor data quality.
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Prior experience supporting Data Governance initiatives desired: Data Quality, Metadata Management (Data Cataloging, Data Lineage), Master Data Management, Data Security.
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The Sr. Data Quality Analyst understands both technical and functional design and brings perspective from all architecture domains (process, application, integration, data, technology, and security) into the solution design of Master Data Management capabilities that support broader portfolio capabilities (e.g., Product Engineering, Supply Chain, Procurement, Sales, etc.
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Senior Quality Data Informatics Analyst. Responsibilities include but, are not limited to: · Work across functional areas to assess oncology reporting requirements, determine the optimal visualization strategies, and then collect, analyze and present quality improvement data for purposes of Institute-wide program evaluation, management/decision-making, clinical quality improvement, and regulatory compliance.
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Conduct data management maturity assessments and identify pain points for including data quality, governance, architecture, analytics, metadata management, master data management.
$120,000 - $210,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Experience deploying enterprise-wide reporting solutions while leveraging data visualization best practices. In depth knowledge of modern data technologies including Snowflake, RedShift, Azure SQL/Synaspe, Databricks or similar technologies.
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May recommend data analytics strategies including enterprise data warehousing, master data management, data quality, data governance, Big Data, business intelligence, visualization.
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The GPS AI & Data Engineering offering is responsible for developing advanced analytics products and applying data visualization and statistical programming tools to enterprise data in order to advance and enable the key mission outcomes for our clients.
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Delta, founded in 1971, is a global leader in switching power supplies and thermal management products with a thriving portfolio of smart energy-saving systems and solutions in the fields of industrial automation, building automation, telecom power, data center infrastructure, EV charging, renewable energy, energy storage and display, to nurture the development of smart manufacturing and sustainable cities.
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3+ years of experience in data engineering, data integration, data modeling, data architecture, and ETL/ELT processes to provide quality data and analytics solutions.
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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, Lake Formation, 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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data quality jobs Title: enterprise data architect Company: Salesforce
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