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You will have indepth knowledge and experience in; cloud data lake house; Databricks (preferred) or Snowflake; cloud-native solutions knowledge; SQL or Python; modern DevOps approach; have written data code AND also the CI/CD pipelines.
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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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5+ years of experience in data analysis or data science, with 3+ years focusing on machine learning problems, ideally in a relevant space (KYC, sanctions detection, anti-fraud detection, treasury management, crypto/blockchain data science.
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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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0 years of related experience with a Masters’ degree in Computer Science, Health Information Technology, Data Science, Information Systems, Software Engineering, Information Technology, Data Engineering, Applied Mathematics, Statistics, Biomedical Informatics.
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Set up Router-Message processor and other Apigee PoD for "To-Be set up. Work on Commissioning and Decommissioning of Apigee Data Center with single Data center. Understand the Apigee port opening/Firewall configuration/Load Balancer configuration for onboarding the Business partner and Backend system for E2E communication.
$125,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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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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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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Note: Data Annotation payment is made via PayPal. We will never ask for any money from you. Fluent in English● A bachelor's degree (completed or in progress)● Excellent writing and grammar skills● Strong research and fact-checking skills to ensure accuracy and originality● Previous experience as a Freelance Writer, Content Writer, Editor, Copywriter, Copy Editor, or those with experience in journalism and/or media is preferred but not required.
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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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Certified Analytics Professional (CAP), Data Science Council of America (DASCA), Principal Data Scientist (PDS), SAS Big Data Professional, Microsoft Certified Azure Data Scientist Associate, or equivalents.
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Assisting the Head of Sustainability and ESG Task Force to execute against the Sustainability strategy with data gathering/analysis & PMO (project management) support o Gather, format, and model global data to support regulatory requirements (e.g., Scope 3 data from various LivaNova systems / stakeholders and formatted per EPA assumptions.
$125,000 a yearFull-timeExpandApply NowActive JobUpdated 12 days ago - UpvoteDownvoteShare Job
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As a Senior QA Automation Engineer, you will perform Quality Assurance and Automation testing for data warehouse implementations, ensuring data accuracy, completeness, and adherence to quality standards.
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Experience connecting Tableau to various data sources, including relational databases (e.g., SQL Server, MySQL), cloud platforms (e.g., AWS, Google Cloud), and flat files (e.g., CSV, Excel), to extract and transform data for analysis.
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Experience using cloud-native data warehouse solutions such as Snowflake or Databricks. One source of truth reporting for the company: Develop and execute a comprehensive data definition and reporting strategy to ensure accurate analysis, and utilization of company data from Snowflake.
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data processor jobs Company: Mckesson in Atlanta, KS, Louisiana
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