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Skill Years of exp rating out of 10 Year last used Big data DataLake Datawarehouse Data Quality Dat a Governance Data Modelling Data Architecture, Building Data Flows for enterprise Data Modernization or Migration projects from On-prem to Cloud Proposal preparation, Client presentations Working on ETL Tools, GCP Cloud Platform Oracle Teradata Snowflake DataStage Tableau.
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We seek a Data Engineer who brings a robust skill set and extensive experience in cloud-based data engineering experience particularly within the realm of Azure and Databricks using Python, PySpark and cloud SQL. Critical thinking and problem-solving abilities are paramount, as you will navigate evolving and complex requirements and collaborate with stakeholders across diverse technical backgrounds.
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Develop and maintain data governance policies and procedures to ensure data quality and integrity. Build and maintain data pipelines and ETL processes using tools such as DBT Labs and Databricks.
$123,100 - $169,212.5 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Validate data sources, extraction, transformation logic and upload of data into target tables ( ETL pipelines)Design, develop, and implement comprehensive data quality tests to identify anomalies, inconsistencies, and data integrity issues for new product development initiatives, product changes, policy changes, and database changesWork with other engineers and support teams to identify, log, root-cause, triage, prioritize, and drive resolution of defects.
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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.
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Cerner, Meditech, CPSI, Allscripts, EPIC, McKesson, NextGen data integration experience a plus. Demonstrated understanding and experience using software and tools including big data tools like Kafka, Spark; relational SQL databases including Big Query or equivalent; workflow management and pipeline tools such as Airflow, and object function/object-oriented scripting languages including Scala, C.
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The Data Integrity Specialist maintains data integrity for patient identification in core electronic medical record, downstream applications, MyChart and Health Information Exchanges (HIE), participates in management of health information management HIE consent to participate process, and identifies and links patients for electronic exchange of data with health information exchanges.
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Experience in performing ETL and data engineering work by leveraging multiple google cloud components using Dataflow, Data Proc, BigQuery. Experience in building high-performing data processing frameworks leveraging Google Cloud Platform and Teradata.
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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. Work with Enterprise Architecture teams to develop data governance and data quality layers within the Azure platform.
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Architect Azure Databricks/Delta lake applications for various business units and assist in the migration from traditional data warehouse. This person will be responsible for architecting and implementing very large-scale data intelligence solutions around Azure Databricks, Delta lake and other required Azure services.
$125,700 - $209,500 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Net, C#, Power BI, Machine Learning, Azure Data Factory, RedShift, UiPath, Cloud, RPA, AWS, Redshift, Python, Data Modeling, SQL, SSIS, SSAS, SSRS, Power Automate, Power Platform, AI Builder, Power Apps, Blue Prism, Automation Anywhere, UiPath Studio, Orchestrator, ERP, QuickBooks, SAP, NetSuite, Oracle, API, JSON, XML, Web Services, SOAP, Postman, Fiddler, Integration, Custom Activities, DLL, Insight, Automation Hub, Task Capture.
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Leading the design, build, migration, and testing of OneStream for multi-dimensional data models (dimensions, hierarchies, attributes); input template and report build; Data Integration and Extract Transform and Load (ETL) concepts; understanding of calcs (allocation, top-down spreading, currencies); and, workflow, data permissions and security.
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Experience creating of interactive data visualization with any the following platforms Power BI, Tableau, SAC. Experience designing highly scalable ETL processes with complex data transformations, data formats including error handling and monitoring using tools like Qlik Compose, DBT.
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2+ years with big data technologies such as PySpark, Databricks, and BigQuery. Work with big data technologies like PySpark, Databricks, and BigQuery to process large amounts of data.
$92,700 - $185,400 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Technical Acumen:Perform model training and validation using various types of machine learning techniques on structured/unstructured data, including imagery, text and graphs. Technical Oversight:Provide technical guidance on model training and validation using various machine learning techniques on structured/unstructured data, including imagery, text, and graphs.
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data quality jobs Title: data Company: Local Staffing in Dallas, TX
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