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Expertise in some of the following leading data and analytics technology stacks, such as Azure (ADF, Functions, Event Hub/Grid, Streaming, Synapse), AWS (Kinesis, Firehouse, Glue) Snowflake, DBT, Databricks, Informatica, DBT, Denodo.
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Further agile and DevOps practices to ensure efficient and high-quality data engineering processes. Experience developing with data SaaS and BI tooling (Fivetran, Looker, dbt, Databricks, Apache Airflow, etc.
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We are hiring for a Principal Product Manager (Technical) to drive the evolution of products which provide Amazon business teams and selling partners (marketplace sellers and retail vendors) with comprehensive, accurate, and standardized metrics in a timely manner to enable high quality, high velocity decisions.
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In our Data science track we prepare you to get job as one of the following: Python developer, a data analyst, data visualization developer, a statistician, a machine learning engineer or a data scientist.
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Experience with data quality processes, data quality checks, validations, data quality metrics definition and measurement. Act as an in house data expert and make recommendations regarding standards for code quality and timeliness.
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Proficient with Data Warehousing solutions (e.g., Redshift, Snowflake, BigQuery, Lakehouse, Data Mesh, Medallion Architecture) Cerberus Technology Solutions (CTS) is a subsidiary of CCM focused exclusively on leveraging emerging technology, data, and advanced analytics to drive transformations.
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The Bedrock AI Data Team at AWS is responsible for delivering high-quality annotated data and a variety of language artifacts to ensure the best performance of different AWS LLM services.
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Uphold data quality and integrity through rigorous testing and the application of best practices in data engineering. Continuously update your knowledge of Analytics and Data Engineering trends, particularly in AWS, Redshift, Snowflake, Python, SQL, and dbt, to enhance our technology stack.
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Experience may be gained concurrently and must include one (1) year in each of the following:-Building statistical models and machine learning models using large datasets from multiple resources-Working with Customer, Content, or Product data modeling and extraction-Using database technologies such as SQL or ETL-Applying specialized modelling software including Python, R, SAS, MATLAB, or Stata.
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Senior candidates will be expected to play a leadership role as the Associate Director of the new NJIT Institute for Data Science, whose Director is Distinguished Professor David Bader. The Department of Data Science at New Jersey Institute of Technology (NJIT) invites applications for tenure-track faculty positions starting in Fall 2023.
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Assist the team that will document, maintain, and tune AML transaction monitoring rules, sanctions screening systems, and risk scoring models as well as detailing data lineage and model/rule assumptions and parameters for all models.
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We are looking for a Murex Analyst with a specialized focus on data quality and risk model validation. Troubleshoot and resolve issues pertaining to data quality, ensuring the integrity of static, market data, and scenario analysis.
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Prior experience with Radiology Information Systems, PACS, Data processing and digital data transfer process. Registered X-Ray Technologist by American Registry of Radiologic Technologists (ARRT.
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Application of online & data privacy compliance application to Ad-Tech ecosystem, a plus. Experience and understanding of data privacy compliance technologies & related customer use cases.
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New York State Licensed X-Ray Technologist by the Department of Health. Certified MRI Technologist - Part Time - Weekend Days. Silver HCM Excellence Award for Learning & Development” – Brandon Hall Group.
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data quality jobs Company: Spacex in New York, NY
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Hiring Transparency
Transparency in hiring refers to the open and honest communication and information sharing that takes place between employers and job candidates. It encompasses all aspects of the hiring process, from posting job descriptions to providing feedback on performance during and after the interview process. In today's job market, hiring transparency has become increasingly important for both employers and candidates alike.