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Expanding, scaling, and standardizing the core foundational principles through consistent observability, lineage, data quality, logging, and alerting across all engineering teams in the Data organization is imperative to the creation of a single pane of glass.
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Build processes to help identify and improve data quality , consistency and effectiveness. Experience with AWS cloud services : EC2 , EMR, RDS, Redshift , Modern data platforms, Snowflake , dbt , Fivetran and Airflow.
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Litigation consulting, transaction advisory, professional/public accounting, assurance/audit and/or corporate development experience preferred. Ability to use other modeling and data analysis tools is also a plus.
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Manage and mentor the Quality Assurance Functions by establishing and monitoring in process and post process quality Inspections measured against the specified materials and production variables.
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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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Proficiency in Databricks, Azure services (e.g., Azure Data Lake Storage, Azure Synapse Analytics), and Spark for big data processing and analytics. We are seeking a skilled and experienced Data Engineer with expertise in Databricks, Azure, and Spark to join our dynamic team.
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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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Synthesize disparate sets of data from sources such as malware, cyber attack patterns, and closed and open-source intelligence to inform instrumentation and detections. Monitor internal and external data sources while leveraging vendor resources to gather intelligence from deep and dark web, covert communication channels, social media platforms and other OSINT sources.
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We are hiring a Senior Statistical Analyst to leverage cutting-edge data science tools and methodologies on real-world clinical data for scientific research in precision medicine. A Master's or PhD degree in biostatistics, data science, biomedical informatics, epidemiology, public health, computer science, applied mathematics, engineering, or a related field.
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Candidate will be given the opportunity to learn and make use of sophisticated tools (SQL, Alteryx, Informatica, SAS, Tableau, SSRS, DataRobot etc) and technologies (Big data like Hadoop, Python/R Programming, AI/Data Science,) to provide customized automated solutions across multiple business segments.
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In supporting rule analysis, Teammate should be able to Independently perform sophisticated data analytics that fit to the fraud problem being observed (ranging from classical econometrics to machine learning, neural networks, and natural language processing) in a variety of environments using structured and unstructured data.
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Solid experience with architecting and implementing metadata management including data catalogues, data lineage, data quality and data observability for big data workflows.
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Coordinate data infrastructure work to ensure appropriate tracking is in-place to conduct high-quality analyses. Experience working with cloud based data warehouses like Google BigQuery, Redshift, or Snowflake.
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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 teamThe US data engineering chapter is a professional practice of data and data quality engineers.
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The People Analytics team is globally respected as a leader in its field and is dedicated to staying on the cutting edge of business intelligence and data science methodology and technology. As such, we've built a world class People Analytics and Measurement team to optimize people management and facilitate data-driven decision making.
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quality assurance data jobs Company: Cynet Systems in Atlanta, PR, Canada
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