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Collaborating amongst team members across several geographies, our Cloud practitioners engineer cloud-based analytics solutions on AWS, Azure, Databricks, GCP, Snowflake, Oracle, Informatica Cloud and a combination of native cloud technologies, including computing at edge and curating data-in-motion.
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Experience in design and support of data management and analytics platforms such as Data Lake, Data Mart, Power BI, IBM Cognos and other similar platforms. Security Responsibilities Must comply with all company security and data protection / usage policies and procedures.
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Must comply with all company security and data protection / usage policies and procedures. 3+ years of recent experience with Deltek Costpoint, Materials Management, MRP, Time & Expense, and Cobra.
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Manage and maintain role-based access to data and features in the Databricks Platform using Unity Catalog. Strong understanding of data engineering needs. The administrator will be responsible for facilitating the work of data analysts, data engineers and data scientists while maintaining best practices for security and compliance.
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Job responsibilities: Manage and maintain role-based access to data and features in the Databricks Platform using Unity Catalog. Create infrastructure for AWS and Databricks using Terraform: S3, IAM roles, Instance Profiles, KMS Keys.
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Knowledge of Statistics, Gen AI, LLM, Python, Computer Vision, data visualization tools. We want Data Science/Machine learning/Data Analyst and Java Full stack candidates. Currently, We are looking for entry-level software programmers, Java Full stack developers, Python/Java developers, Data analysts/ Data Scientists, Machine Learning engineers for full time positions with clients.
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Data Analytics Tools (Microsoft Power BI); and, Data Integration Tools (Microsoft Azure Data Factory, SSIS, Informatica, API Management, Enterprise Service Bus, and Rules Engine.
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Compensation: USAA has an effective process for assessing market data and establishing ranges to ensure we remain competitive. You are paid within the salary range based on your experience and market data of the position.
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Qualified candidates will have experience with Machine Learning and development working with Python, Databricks, PySpark and big data technologies. Tallon is recruiting for a Full Stack Python Developer to work in support of advancing data analytics.
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Our team primarily works with reporting servicing GFCC Sanctions, Client List Screening (CLS), as well as engaging the Compliance, Conduct, and Operational Risk (CCOR) support functions inclusive of Anti-Money Laundering (AML) Investigations, Know Your Customer (KYC), Employee Compliance, Regulatory Reporting, GFCC Quality Assurance, and Monitoring & Testing (M&T) to create data or reports out of complex business specifications.
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Record preventative maintenance activities, quality inspection data, equipment downtime, production output and other key metrics, performing mathematical calculations as needed. The position requires the use of computer systems for inputting data, stacking, and wrapping products, and use of a forklift to move materials throughout the facility efficiently and safely.
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Design, develop, and maintain complex reports using Epic Clarity data model and reporting tools, Caboodle, Reporting Workbench, Radar Dashboards, and Chronicles. Proficiency in data visualization tools like Tableau, Power BI, QlikSense.
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Strong understanding of regulatory requirements and compliance issues affecting clients related to privacy and data protection, such as PCI DSS, GLBA, Basel II, EU Data Protection Directive, International Cross Border, and U.S. State Data Privacy Laws.
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Serve as Clinical Data Scientist and Trial Lead for one or more clinical trials assuming responsibility for all CDS activities including selection and application of data acquisition standards, Data Management Plan, selection of quality risk indicators, third party study data due diligence.
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Proficient in Statistical Analysis System (SAS)/ structured query language (SQL), Microsoft Office (MS Office), programming languages (e.g. Python, R), analytical tools (Enterprise Miner, Knowledge Studio, H2O, Tableau) and big data tools (e.g. Hadoop Distributed File System (HDFS)/ Yet Another Resource Negotiator (YARN), Kafka, Highly Immersive Visualization Environment (Hive), Spark.
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data job Title: data scientist applied in Tampa, FL
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