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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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You must be passionate about data engineering and data quality with a solid background in AWS, Databricks, Python, Trino/Starburst and SQL. Optimize data processing and query performance for large-scale datasets within AWS and Databricks environments.
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Must have experience with: Informatica Data Management Cloud (IDMC) or PowerCenter, or axon, or IDQ (Informatica Data Quality) Knowledge and Hands-on Experience in Data Quality and Data Governance.
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Improve data quality, data validation layers to help the BI solutions highlight rich data. We are seeking a skilled Software Engineer with experience in design and development of infrastructure using Java, Spring Framework modules, Spring boot, Micro Services, AWS, Kafka, Docker, cloud-based java applications, JSP, Hibernate, Web services (soap and Rest), Maven, Unit Testing (JUnit), MySQL, Oracle, Jenkins, code quality tool Sonar.
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Functional Responsibilities:·Support FEMA Mapping Information Platform (MIP) deliverable compilation and review within a flood risk study lifecycle·Support internal QA/QC of base maps, terrain, flood risk database, floodplain mapping, preliminary production, and post-preliminary processing, in addition to FEMA Quality Reviews·Prepare written documentation describing methodologies/procedures and prepare exhibits.
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Data Processing and Quality Control: Utilize bioinformatics tools to process raw NGS data and perform quality control checks; Ensure accuracy and reliability of sequencing data through thorough validation processes.
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As a Machine Learning Engineering Intern, you will work with AAG and Bain’s consulting teams to provide high quality results and software products for our clients. The Advanced Analytics Group (AAG) is a team of experts in data science, machine learning (ML) engineering, Generative AI applications, and software engineering.
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This role involves ensuring the accuracy and reliability of all deliverables created from LiDAR and imagery data from both manned and unmanned aircraft, troubleshooting technical issues, and conducting quality control checks.
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As a Data Specialist for CGS you will help our government client in processing data using LAW. The ideal candidate will regularly load large volumes of production data; running exports from the database for creating discovery party productions.
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Strong background in data processing & software engineering and can build high-quality, scalable data oriented products. Apexon brings together distinct core competencies – in AI, analytics, app development, cloud, commerce, CX, data, DevOps, IoT, mobile, quality engineering and UX, and our deep expertise in BFSI, healthcare, and life sciences – to help businesses capitalize on the unlimited opportunities digital offers.
Full-timeExpandApply NowActive JobUpdated 30 days ago - UpvoteDownvoteShare Job
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The Data Coordinator, under minimal supervision, is responsible for the collection, coordination, processing and quality control of clinical trial data. Texas Oncology is looking for a full-time Clinical Research Data Coordinator II to join our team.
Full-timeRemoteExpandApply NowActive JobUpdated 20 days ago - UpvoteDownvoteShare Job
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Customer service related to the property owner and tenants needs prior to and leading up to tenancy; including processing background information, lease documents, collecting deposit and first-month's rent, and property inspection.
$50,000 - $250,000 a yearFull-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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Harness large-scale customer data, identifying patterns, trends, and insights that contribute to the enhancement of digital containment and issue resolution fuse efficient engineering methodologies to optimize the performance of generative AI models and to augment their applications in customer experience mand the end-to-end execution of GenAI initiatives, ensuring adherence to timelines and maintaining a high standard of quality.
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The Process Industries Division serves the mining, minerals processing, metals, cement, pulp and paper, battery manufacturing, and food and beverage, as well as their associated service industries.
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To qualify for this position, you should be a manager who has managed multiple data platform implementations across modern technologies, a lead engineer interested in designing solutions in both streaming and batch processing environments, and a tech-enthusiast excited to work with cloud-based technologies like GCP, Azure, and Kubernetes.
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data quality processing jobs in Dallas, TN, United Kingdom
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