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Expertise in Python with and the ability to write performant production-quality code, familiarity with SQL, knowledge of Spark and cloud data environments (e.g. Azure, Databricks). Experience managing and optimizing Azure cloud data technologies (Synapse, Databricks, ADF, or Azure Data Lake.
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Perform data quality audits around inconsistent data, incomplete data, business rule violations, incorrect data, etc. The Data Scientist provides technical staff with competencies in data science and data engineering that will specifically focus on data science workflow automation and developing technical data artifacts.
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Incorporate core data management competencies including data governance, data security and data quality. Build and operationalize complex data solutions, correct problems, apply transformations, and recommending data cleansing/quality solutions.
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Work with Data Governance, IT, and data stewards on design of the strategic solution to data quality issues. [Required] 10+ years of progressive experience leading to a Senior-level Data Architect, Data Engineer, DBA, consultant, technical lead.
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Looking for a Senior Data Engineer responsible for designing and implementing ETL/ELT data pipelines, designing and implementing database schema/tables/views, and building batch processes leveraging Airflow for several projects.
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Looking for Senior Analyst - Auto Lending with experience in more than aspect under Originations, Servicing, Payments, Collections, and Quality Assurance. 5+ years of working experience in the auto lending industry, specifically in the areas of originations, servicing, payments, collections, and quality assurance.
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Of experience being hands-on in Fine-tuning pre-trained language models for generative AI applications, researching techniques to optimize existing LLM training and model quality, developing and deploying LLMs for a variety of content generation tasks, and keeping up on advancements in NLP and LLMs to better apply novel techniques and methodologies for model improvement.
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Primary focus will be in natural language processing (NLP), applying data mining techniques, doing statistical analysis and building high quality prediction systems. Data visualization tools, such as Tableau etc.
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Able to handle data quality issues and ensure the integrity of the data throughout the ETL process. Facilitating seamless communication with internal employees to ensure shared understanding and high-quality data and analytics work.
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Use Oracle, Cassandra, and open-source search engines including SOLR and Elasticsearch to store and retrieve application data. Using Oracle, Cassandra, and open-source search engines including SOLR and Elasticsearch to store and retrieve application data.
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You have strong data skills in quantitative analytics and qualitative user research. You have experience defining a strategic roadmap and leveraging multiple inputs such as user research, customer data, and company initiatives.
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You will ensure that the company remains at the leading edge of location data intelligence, including address quality, geocoding and address enrichment, by implementing and executing the product strategy through research and collaboration.
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Proven experience analyzing data, including data quality assessment, data governance, and data protection. Role: Data Scientist (PHD) Data Scientist (PHD.
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The Principal IT Security Engineer is a valued member of the Protect squad and is a Subject Matter Expert (SME) for Cybersecurity capabilities in at least two or more of the following security domains such as Network Security, Data Protection, Container Security, Endpoint Security, and Cloud Security.
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Collaborate with cross-functional teams including designers, frontend developers, geneticists, and data scientists to translate requirements into high-quality Vue.js components and applications.
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data quality jobs Company: Dice in MN, Germany
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