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Qualifications:Minimum of 2 years of experience working as a Quality Engineer, Product Engineer, Process Engineer, Manufacturing Engineer, or Industrial Engineer and a Bachelor’s Degree in Engineering, Science, Math, or Statistics, or an equivalent combination of education and experience.
$80,000 - $120,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Work on improving data integration processes, ensuring smooth data flow from various sources into Databricks, and improving data quality and consistency. Design and implement effective data models that enable efficient data storage, retrieval, and analysis, while ensuring data integrity and quality.
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Utilization of data integration, modeling, optimization and data quality improvement processes. Strong ability to collaborate with data governance, quality and security experts to move data pipelines into production in compliance with applicable standards and certification.
$120,000 - $145,200 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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As a Senior Data Architect specializing in Data Discovery, Data Mapping, Data Modeling, Data Quality, Enterprise Information Model adoption, different types of Database Storage Systems involving relational, NoSQL, azure cloud data solutions, and Big Data Analytical Platforms, you will play a pivotal role in designing, implementing, and optimizing our data architecture artifacts to support advanced data initiatives.
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The Enterprise Architect will work with the Director of Data Services to create and enforce effective data management policies where needed and to formulate management techniques for quality data collection and transformation to ensure adequacy, accuracy, and legitimacy of data.
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You'll play a critical role in ensuring the accuracy, efficiency, and reliability of our actuarial data processes and systems built on Azure Databricks and Dataiku. Monitor and maintain actuarial data pipelines and workflows built on Azure Databricks and Dataiku.
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Working with code versioning tools such as GitHub or BitBucket; expert level understanding of repo design and best practicesFamiliarity with deployment automation tools such as JenkinsHands-on experience designing and building ETL pipelines; expert with data ingest, change data capture, data quality; hand on experience with API development.
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Our systems are used in mission-critical environments including military and disaster recovery - that demand the highest possible levels of quality. Innovation, creativity, and quality are built into our DNA here at PacStar and we look for the same in our employees.
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Data engineers generally have a bachelor's degree in computer science, information technology, or applied math, as well as a few data engineering certifications like Azure Certified Data Engineer.
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Responsible for QA data management with in the Quality Tracking Database Software - Unipoint. Job Title: CMM Quality Technician for a Precision CNC Machine Shop servicing High Tech Markets.
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Required Software experience: CMS platform/s (e.g. Shopify, WordPress), CRM platform/s (e.g. Hubspot), Data and Business Intelligence (e.g. Brightfield, IRI, SPINs), Google suite, Office suite, Project Management platforms (e.g. Asana, SmartSheet.
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Prepare and build database of testing scenarios, processes to create test data, processes to verify actual results vis. Prepare & maintain documentation related to business process being tested, testing plans, test data, and test results.
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Relative to the use of Exact Sciences’ products, including clinical and select health economics and outcomes research data (HEOR). Some experience communicating health economics and outcomes research (HEOR) data.
$165,000 - $247,000Full-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Develop and maintain efficient systems for data cleansing, data entry, gift processing, prospect research, and relationship management in collaboration with Development & Communications Manager and Director.
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Data Integration experience in tools like Amazon API Gateway, S3, SQS, Airflow, Apache Kafka, Lambda, Snowflake, etc. Hands-on experience implementing cloud-based data infrastructure and integration patterns using tools like Amazon API Gateway, S3, SQS, Airflow, Apache Kafka, Lambda, Snowflake, etc.
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data quality jobs Title: data architect in Beaverton, OR
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