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Working knowledge and experience with Azure Data Lake, Databricks, Metadata Management, Master Data Management, Data Quality, Data Lake and Analytical platforms; experience with technologies like Azure Cloud ecosystem, Databricks, Informatica MDM, Informatica IDQ, Informatica Policy Engine, Collibra, Databricks Unity Catalog is required.
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TAG provides a comprehensive suite of centralized business support services that power the impact of five consumer-facing businesses: Aspen Dental, ClearChoice Dental Implant Centers, WellNow Urgent Care, Chapter Aesthetic Studio, and AZPetVet. Each brand has access to a deep community of experts, tools and resources to grow their practices, and an unwavering commitment to delivering high-quality consumer healthcare experiences at scale.
$110,000 a yearFull-timeExpandApply NowActive JobUpdated 10 days ago - UpvoteDownvoteShare Job
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Lead water resources management, water quality modeling, and environmental data analyses projects nationwide. Master's degree or higher in environmental engineering, environmental science, or related field with strong academic background in aquatic chemistry, limnology, environmental fluid mechanics, or water quality modeling.
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Expertise in BI and data warehousing principles including data modeling, data quality, extract/transform/load process as they apply to data preparation for BI/ Analytic solutions.
$87,000 - $115,500 a yearExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Supports development and management of data science best practices, which could include quality assurance processes, establishing and maintaining coding standards, and building internal tools for common data processing tasks.
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Proficiency in biological/water quality data analysis and statistics. Demonstrated field experience conducting some or all of the following: water quality sampling, biological assessments, habitat assessments, fluvial geomorphology surveys, aquatic sampling techniques (e.g. electrofishing, seining, kick net), or sediment sampling.
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Experience with data quality assurance and testing on GCP. Measure and monitor the quality of data on GCP data platforms. Inviting applications for the role of Principal Consultant-Senior Data Engineer.
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Develop and implement data ingestion, transformation, and validation processes to ensure data quality, consistency, and reliability across various healthcare datasets. The ideal candidate will be responsible for designing, implementing, and maintaining data pipelines, while ensuring the highest levels of performance, security, and data quality.
$75 - $85 an hourExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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Lightning Connect to call an external API A good understanding of OAUTH2, caching, future calls, Outlook integration, CICD pipeline, modern IDEs, SCM tools (Git, SVN), HTML, CSS, JavaScript, Salesforce DX It's good to have Azure DevOps, databases, data modeling, and SQL. An ability to develop reports, dashboards, and processes to monitor data quality and integrity.
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Develop and implement a comprehensive data engineering vision and cloud data strategy, aligning it with JumpCloud’s business objectives while ensuring data quality, scalability, reliability and security.
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Under the direction of the Program Manager of Consultation Programs, the Quality Specialist will provide training, support (technical assistance), and consultation to licensed family childcare homes and licensed childcare centers.
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Senior Data Reliability Engineer (Data SRE) Proficiency with GCP data services (BigQuery; Dataflow; Data Fusion; Dataproc; Cloud Composer; Pub/Sub; Google Cloud Storage.
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Ensure quality of critical data element, prepare data quality remediation plans and collaborate with business and system owners to fix the quality issues at its root.
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Experience with one or more of the following:Informatica MDM multi-domain edition,Informatica 360 solutions (Customer, Cloud/Customer for Salesforce, Product, Supplier, Reference),Informatica Axon,Informatica Data Catalog/Enterprise Data Catalog,Informatica Data Quality,Collibra,AlationAbility to understand and communicate client strategic business drivers and operational process requirements AND link specific business requirements to Data Management capabilities.
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A crucial role in CME's Cloud data transformation, the data SRE will be aligned to data product pods ensuring the firm's data infrastructure is reliable, scalable, and efficient as the GCP data footprint expands rapidly.
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data quality jobs Title: senior manager Company: Optello in Chicago, IL
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