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Work with the Database Engineer and Developer to carry out the development of the data warehouse based on the requirements using PostgreSQL, SQL Server Integration Services, SQL Server Management Studio, Snowflake, Python, PySpark, Azure Data Factory and Azure Data Bricks.
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Expertise with Google Cloud Platform’s distributed Machine Learning, Data Science and Data Engineering tools (e.g. BigQuery ML, VertexAI, AutoML, Docker, Kubernetes, Kubeflow, Dataproc) As a Data Scientist, reporting into the Head of Data & Strategy at TRKKN North America (NA), you’ll focus on building scalable machine learning and AI products to help evaluate and optimize the business impact of our clients’ marketing investment.
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Support vendor risk management and DPIA programs to ensure third parties comply with the Firm’s privacy and data protection requirements. This role requires Data Loss Prevention (DLP) program experience, including conducting investigations related to data loss, data exfiltration, or unauthorized access or use of data, or experience using eDiscovery solutions or similar technology.
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Seven (7) years’ experience in data integration technologies, specifically in Dell Boomi, and experience working on data integrations between enterprise applications on both on-premises and cloud environments.
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Work At Home Data Entry Research Panelist Jobs - Part Time, Full Time This work-from-home position is ideal for anyone with a diverse professional background, including administrative assistants, data entry clerks and typists, customer service reps or drivers.
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Develop, maintain, and optimize data infrastructure using Delta Lake, MLflow, and Databricks SQL to enhance data management, processing, and analytics. Design and implement scalable data pipelines using tools like Apache Kafka or Apache Airflow to facilitate real-time data processing and batch data workflows.
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Visualization Tools: Tableau (preferred), QlikView, Power BI Data Quality: Understanding of data quality best practices and experience in implementing data governance principles. Qualifications: Bachelor’s or Master’s degree in Analytics/ Data science (or) any Math/Statistics/Quant background, or Bachelor’s degree in Information Technology or Computer Science with proven experience in data engineering/ business intelligence tools especially strong understanding of database concepts and data modeling.
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Minimum of 5 years of experience in IT compliance, Data Governance, risk management, and technical security, with a strong focus on PCI DSS. Lead PCI DSS (Payment Card Industry Data Security Standard) compliance efforts, including annual assessments, audits, and reporting.
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Extract data from Teradata and Google BigQuery, creating derived datasets for KPI monitoring. Experience with pulling data from data warehouses like Teradata and BigQuery. The ideal candidate will extract and process data from Teradata, Google BigQuery, and other databases, delivering actionable insights.
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Assemble and analyze Health, Environmental, Safety, Security, Process Safety, Product Stewardship, Medical and Compliance Assurance data to identify appropriate metrics, trends, and exceptions to compete at world class HES&S performance.
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We are seeking candidates experienced in Digital Transformation, particularly those proficient in Data (SME), and skilled in forming Strategic Partnerships with data platform companies like Snowflake and Databricks.
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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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Data entry, data review, and GPS use. Working knowledge of sub-meter accuracy GPS technologies and map interpretation skills (e.g., NWI, USGS, aerial photography). Familiarity with Army Corps of Engineers Regional Supplements for the Arid West and Great Plains.
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Technical Acumen:Perform model training and validation using various types of machine learning techniques on structured/unstructured data, including imagery, text and graphs. Technical Oversight:Provide technical guidance on model training and validation using various machine learning techniques on structured/unstructured data, including imagery, text, and graphs.
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Physician Assistants (PA): Must have a PA license through the state of TX. By applying, you consent to your information being transmitted by Jobcase to the Employer, as data controller, through the Employer’s data processor SonicJobs.
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data job in Dallas, CA, Arizona
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