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Advocating for improvements to data quality, security, and performance of the platform. 3+ years of experience with data applications and tools (Snowflake, Databricks, Spark, EMR, Presto, Datadog, DBT, etc.
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Drive the development of a cutting-edge data architecture that ensures high availability, fault tolerance, and robust data quality. Partner with cross-functional teams to deliver scalable, high-performance data solutions, optimizing performance and ensuring data quality.
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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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Flagging Issues: Identify and flag errors, inconsistencies, or suspicious activity in voter registration data collected from canvassing teams, ensuring high standards of data quality and compliance.
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Develop and implement databases, data collection systems, data analytics and other strategies that optimize statistical efficiency and quality. Technical/Functional Skills Scala Spark, Python, Big Data, Kafka, AWS, Oracle SQL, Hive SQL, Databricks, and Jenkins.
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You can also demonstrate the Data migration cycle output to the customer + Identify Data quality issues and have the fixes in place. IBM Maximo Data migration experience in complex system integration environment Worked as the equivalent of a Data consultant/analyst as all or part of your role with related customer coordination experience in collected data, analyzing data, mapping to data, and finally migration into the target environment and is well versed with IBM Maximo data model and experience of earlier migration from multiple sources.
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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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Drive the adoption of best practices in data governance, quality, and lifecycle management, ensuring data integrity and compliance with regulatory standards. As a leader in our industry, we are embarking on a transformative journey to leverage big data, data lakes, and lakehouse technologies to streamline our data services and support our product lines with scalable, efficient, and high-quality data solutions.
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Teaching responsibilities may include participation in biomedical informatics and computational biology PhD and MS training programs, teaching informatics and data science courses in biomedical graduate programs, and mentoring of graduate and/or medical students.
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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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Support technical problem solving for issues pertaining to GMP Quality Control. Perform daily GMP Quality Control laboratory testing activities at the iCTC facility with minimal to no errors while ensuring testing is completed in compliance with all applicable procedures, standards, and GMP regulations.
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Deloitte Risk and Financial Advisory's Financial Services Industry (FSI) Risk, Data and Regulatory professionals help organizations identify the regulatory changes impacting their business and implement effective and efficient processes to manage regulatory, capital, liquidity and interest rate risks, respond to evolving regulatory environments and implement programs, measures, and tools to help clients with a specific focus on risk, data, and regulatory processes.
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Keyword Search Emphasis: EHR, ETL/ELT, Azure/AWS, Databricks, Governance, Regulatory (HIPAA, GDPR), CI/CD, Data Pipelines, Data Modeling Epic (preferred) 2+ years of experience in data engineering, utilizing programming skills to build robust data pipelines / Databricks dynamic systems.
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Examples: performing assigned tasks such as verifying that accreditation related data fields are coded correctly, support the Cancer Registry Assistant with Multidisciplinary Cancer Case Conference, reviewing medical records for compliance with synoptic reporting, assisting with case review of quality measures, and other tasks as assigned.
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Description Clinical Research Coordinator B ResponsibilitiesThis individual will work under general supervisionThe CRC will be responsible for the coordination of complex oncology clinical research protocols, including accurate data collection and overseeing the quality of the clinical trial data and records, scheduling and conducting study initiation and monitoring visits, and participating in ongoing study protocol training.
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data quality jobs Title: data architect in Philadelphia, PA
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