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Guardian Life Insurance Company is actively seeking a passionate, driven Senior, Database Engineer to provide operational support for Guardian Database Systems, design and build database systems using automation in both data center and cloud platforms, including identifying build defects and create self-healing routines.
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Data entry clerks come from all various backgrounds including customer service, sales assistance, clerical, secretary, administrative assistant, receptionist, call center, part-time, retail areas & more We are wanting to speak with you.
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Routinely review Electrical condition-based vendor data reports and provide recommendations and necessary repair plans for any noted deficiencies to ensure reliable operation (thermography, partial discharge monitoring, PdMA etc.
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Supporting client mainframe application modernization projects through the solution design, calibration, code and data conversion, testing, and validation phases. Engaging in detailed conversations with solution architect(s) and technical leads regarding options for customizing and modifying code, and data conversion tools.
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Maintains patient/resident database to include appropriate current and past medical history, appropriate clinical and laboratory data, and concurrent medication (including over-the-counter and home remedies.
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Experience coding in various programming languages (such as R, Python, SQL, or JAVA) to conduct various phases of data science projects. IOR BASIC REQUIREMENTS GS-1529 Mathematical Statistician (Data Scientist): You must have a degree that included courses in mathematics and statistics totaling at least 24 semester hours.
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Architect and develop large-scale, distributed data processing pipelines utilizing cutting-edge technologies such as Apache Spark, Apache Beam, and Apache Airflow for orchestration. Expertise in Apache Spark, Apache Beam, and Airflow, with a deep understanding of distributed computing and data processing frameworks.
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Experience with supply chain : Advanced proficiency in MS Excel required, experience with other data systems / software strongly desired (MS Access, Sequel Server, Hyperion, Minitab, MS Project, MS SharePoint, etc.
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Previous experience with data analytics tools or programming languages such as SQL, Qlik, ACL, Python, R, among others. Current student in their sophomore, junior, or senior year working toward a bachelor's degree in management information systems, Business/Data Analytics, Data Science, Finance, or Computer Science.
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Our expertise lies in forging connections between healthcare facilities across the United States and an elite cadre of healthcare professionals, ensuring that the evolving needs of the healthcare sector are met with precision and professionalism.
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Founded in 2018 and headquartered in Boca Raton, Florida, Jushi is a vertically integrated, multi-state cannabis company that develops and operates high-end retail locations, premium brands, state-of-the-art cultivation, processing, manufacturing facilities, along with a cutting-edge online platform that is setting a new standard for a sophisticated, data-driven, modern cannabis experience.
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Familiarity with developing Data Pipeline, ETL/ELT, utilizing tooling of Big Data Platform, Datalake, Synapse, Airflow, or Snowflake. Experience with Data Ingestion/ streaming tooling such as ADF (Azure Data Factory), Kafka, Five Tran, Spark, or similar technologies.
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Ability to manage and diagnose Data & ETL - Dagster, Airflow, other ETL technologies. Perform regular backups and disaster recovery procedures to ensure data availability and integrity. Implement and maintain data security best practices , including access control, encryption, and auditing.
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Knowledge of Azure architecture such as Azure services and portal, Azure Government Cloud, multi-user Windows 10/11 machines and high density machines, automation of administrative processes, Infrastructure as a Service, proficient ability with PowerShell scripting, SQL Administrator, SQL reporting, APIs, authorization methods for applications and APIs, migrating SQL schemas and data between environments.
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The Observability team builds and maintains solutions that make getting insights from this data turnkey and efficient, such as our APM, Infrastructure Monitoring, Logs, and Uptime solutions. From stock quotes to Twitter streams, Apache logs to WordPress blogs, our products are extending what's possible with data, delivering on the promise that good things come from connecting the dots.
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