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A robust understanding of core data engineering topics - ETL vs ELT, structured and unstructured data, data quality and data governance. The US data engineering chapter is a professional practice of data and data quality engineers.
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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.
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A minimum of six years' experience in providing complex consultative services in the following focus areas: information strategy, big data architecture, information/data governance, master data management, data quality, data integration particularly in a life science or healthcare setting.
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Analyzes and evaluates data fields of GCIC/NCIC records in department. Inquiries against confidential criminal justice data bases for compliance with the Rules of the GCIC Council, federal and state laws and operational procedures.
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Prior experience building an investments data warehouse covering common data domains (clients, portfolios, funds, holdings, transactions, trades, securities/investments, ESG, analytics, performance, IBOR/ABOR/TBOR, benchmarks/indices) or with vended products that provide similar functions (e.g. Eagle, State Street Alpha platform.
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This team focuses on implementing all aspects of data analytics and data science, including data querying, visualization, predictive analytics, machine learning, artificial intelligence, and robotic process automation (RPA.
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State government/public sector experience on IT Projects in health and human services programs (such as Medicaid, MMIS, claims processing, eligibility, HHS analytics, data warehouse, etc.) Extensive applied Agile experience, applied Scrum Master experience, and expertise in some/all the following: Medicaid - MMIS - MECT - Health care - Data warehouse - Analytics - JIRA.
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Oversee a clinic-wide quality improvement program inclusive of all staff and providers, develops and maintains a written clinic quality improvement plan and ensures quarterly and annual reporting and evaluation of the plan’s effectiveness to key stakeholders (i.e. clinical staff, clinic and organizational leadership, and Board of Directors.
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Calibration of dose meters (including dosimetric inter-comparisons for QA) and radiation equipment (accelerator monitor unit calibration) Beam data acquisition for treatment planning. Works at the clinic site in collaboration with the Cancer Care Leadership to ensure high quality and safe interpretation, delivery, operation, and monitoring of radiation safety policies, procedures, standards, and equipment for Radiation Oncology Services.
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Work with tools including Java Script, HTML/CSS, JSON, XML, Bootstrap, AngularJS, Jelly, REST webservice frameworks, API webservice frameworks, active directory federated services, SAML, oAuth, Public/Private key encryption framework, and Azure application and data hosting.
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Responsibilities & Qualifications ResponsibilitiesProvide support for strategic procurement activities, including spend analysis, detailed savings analysis, and RFx developmentPerform complex data analysis using various tools (Excel, Power Bi, Monitor high-quality, value-add Procurement reports and dashboards in Power BI.Collaborate with digital product and governance teams to improve data accuracy, including the management of incidents, change requests, and root cause analysis.
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Solid experience implementing data lineage, data quality and data observability for big data workflows. Design and develop data quality frameworks and processes to ensure the accuracy and reliability of data.
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Experience with Databricks for data engineering and exploratory data analysis. Utilize Databricks for large-scale data processing and model training, ensuring efficient data manipulation and transformation.
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Interpreting and delivering impactful strategic plans improving data integration, data quality, and data delivery in support of business initiatives and roadmaps. Demonstrated proficiency in the design and implementation of modern data architectures and concepts such as cloud services (e.g., AWS, Azure, GCP), real-time data distribution (e.g., Kafka, Kinesis,DataFlow, Airflow), NoSQL (e.g., MongoDB, DynamoDB, HBase, CosmosDB) and modern data warehouse tools including Snowflake and DataBricks.
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Maintain detailed documentation of your work and changes to support data quality and data governance. Ensure high operational efficiency and quality of your solutions to meet SLAs and support commitment to our customers (Data Science, Data Analytics teams.
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data quality jobs Title: retail associate in Atlanta, Leesburg, District Of Columbia
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