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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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Experience with AWS cloud services : EC2 , EMR, RDS, Redshift , Modern data platforms, Snowflake , dbt , Fivetran and Airflow. 5+ years in data engineering with detailed knowledge of data warehouse technical architectures , infrastructure components , ETL ELT.
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Alternatively, experience in defamation, data privacy, cybersecurity, creditor's rights, bankruptcy, healthcare, intellectual property, labor and employment, compliance, or internal investigations could be considered.
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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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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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Support Materials Management with additional support on any of the following MM/PP-related functions such as Master Data, Purchasing, Inventory Management, Production Planning, MRP. Provide recommendations for optimizing existing system, upgrades, new version/functionality including option comparisons and well-researched recommendations.
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This is a REMOTE SENIOR ANAPLAN SOLUTION ARCHITECT opportunity in the United States on the IDSP SUPPLY CHAIN CONSULTING team at NTT DATA for, candidates who are authorized to work in the United States.
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Center 1 (19052), United States of America, McLean, VirginiaSr Lead Data Platform Engineer, Shopping (Remote-Eligible) Remote (Regardless of Location): $198,900 - $227,000 for Sr. Lead Software Engineer.
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Dr. Bonney Reed's Pediatric Psychogastroenterology Lab: The Clinical Research Interviewer will work closely with the Clinical Research Coordinator and the PI, Dr. Reed. The Interviewer will primarily be responsible for obtaining research data from study participants who will be adolescents and their caregivers.
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Currently, We are looking for entry-level software programmers, Java Full stack developers, Python/Java developers, Data analysts/ Data Scientists, Machine Learning engineers for full time positions with clients.
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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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Experience working with cloud based data warehouses like Google BigQuery, Redshift, or Snowflake. Create new reporting and dashboards, data infrastructure, and queries to track key marketing metrics across multiple data sources leveraging SQL, R/Python, Looker, Tableau, and other visualization tools; monitor for changes in trends, share insights and make recommendations.
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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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