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As a Data Engineer, with a focus on Snowflake, IDMC, and Airflow. As a Senior Data Engineer, you will be a key contributor to our data ecosystem, ensuring efficient data processing, robust pipelines, and seamless integration.
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Hadoop Big Data Engineer with PySpark, HQL, Python skills Yes 6 + Years. Hadoop Big Data Engineer with PySpark, HQL, Python skills. DSP (Data Streaming Platform) - Kafka Confluent Yes 6 + Years.
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Technology partner certification (in technology, Big data, business or advanced analytics, data science) - Microsoft, Oracle, Teradata, IBM, EMC, Cloudera, Hortonworks, Informatica, Tableau, SAS, R, Python preferred.
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Working under general supervision, the Advanced Data Analytics Research Analyst serves as a specialized role in the Cardiovascular Research Institute managing multiomic platforms using enabling Artificial Intelligence (AI) and machine learning approaches as part of a precision medicine research program.
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Master Data Management Analyst I-IVThe MDM Analyst within the Enterprise Data & Analytics department is responsible for participating in the leading the successful resolution of daily workflow activities within the MDM team, inclusive of junior team members, including standardization, cleansing & validation of Master Data, establishment & upkeep of Reference Data, MDM models, MDM Metrics, as well as Integrations from/to Source/Target systems across multiple data domains.
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Data Scientist (REMOTE) Minimum one year of predictive modeling, data science, and analysis experience with solid background in the using data visualization tools and libraries and data exploration, data wrangling, and feature engineering.
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You will drive the delivery and adoption of novel data science approaches across medical imaging, natural language processing/generation (NLP/NLG), autonomous systems, edge-AI, graph neural networks, and other state-of-the-art applications.
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Essential Duties and Responsibilities: - Provide analytics data of call/web chat arrival patterns, seasonality analysis of call and web chat volumes, agent efficiency analysis, statistical analysis of the agents and call center performance.
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Lead recruitment, onboarding, and training of the Data Conversion team Oversee the extraction of data from various third-party vendors, ensuring data accuracy, integrity, and compliance with industry standards.
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Keep team appraised of developments in machine learning/AI/statistical research literature that may be of practical use in R&D. Design and Deployment Develop, debug, refine, deploy, and maintain analytical models using Python (including SimPy, SciPy, SciKit, RDKit, NumPy, and other data science and data visualization libraries in Python), R, and other software development and data science tools, including maintaining and updating existing models.
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Bachelor's degree in Computer Science or Information Technology, or in lieu of a degree, at least 7 years of experience in enterprise-wide software support (work experience or a combination of education and work experience in the field of enterprise-wide software support) Title Data Quality and Governance Analyst Location Cleveland OH Client Industry Retail.
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Assists in data synthesis and hygiene for segmentation and other modeling. Senior Marketing Data Analyst. Marketing Data Analyst III. Assists in marketing analytic and reporting processes including gathering data, managing data sources, standardizing data, and creating analysis.
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Data Quality Assurance - ensure data accuracy, consistency, and integrity throughout all processes, and implement data governance best practices. Implement pipelines to move raw data in Azure Synapse using Azure Data Factory, SQL, Python, C# in line with well-established architectural standard related to Data Lakehouse and.
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Preferred SkillsAnalytical Thinking, Competitive Advantages, Data Analytics, Data Mining, Data Science, Machine LearningCompetenciesData Architecture, Data Mining, Disruptive Innovation, Information Capture, Machine Learning, Modeling: Data, Process, Events, Objects, Prototyping, Query and Database Access ToolsWork ExperienceRoles at this level typically require a university / college degree.
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We are rolling out capabilities for Masking, Tokenization and Synthetic Data that require specialized support to onboard the PNC mnemonics. Software Security Assurance - Knowledge of and the ability to detect and prevent data security vulnerabilities of coding throughout the software development life cycle within software development organizations.
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Title: data Company: Uplight in Parma, OH
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