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Please rate your experience with Python, R, SQL, Java, JS, and linux terminal commands from 1-5 (1 being unfamiliar and 5 being an expert-level of experience.) Knowledge of programming languages, including Java, Python, R, or SQL.
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Hands-on experience with relevant technologies and tools such as SQL, Python, UNIX/Linux, Shell Scripting, BigQuery, distributed data processing, and software development methodologies. Proficiency in data visualization tools (e.g., Looker Studio, Tableau, Power BI) to create insightful and user-friendly dashboards for different business units.
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Your expertise in ETL, Databricks, Python, Spark, Scala, JavaScript/JSON, SQL, and Jupyter Notebooks will be essential in ensuring efficient data processing and analysis. High level of proficiency in ETL processes and demonstrated , hands-on experience with technologies such as Databricks, Python, Spark, Scala, JavaScript/JSON, SQL, and Jupyter Notebooks.
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Utilize programming languages like Java, Python, SQL, Ruby and Go, Container Orchestration services including Docker and Kubernetes, CM tools including Ansible and Terraform, and a variety of AWS tools and services.
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Utilize scripting languages like Python, SQL, Ruby and groovy, Container Orchestration services including Docker and ECS, CM tools including Ansible and Terraform, and a variety of AWS tools and services.
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6+ experience with coding and scripting (Python, SQL, Java, JavaScript, Golang, Bash, Perl or Ruby) 6+ experience with coding and scripting (Python, SQL, Java, JavaScript, Golang, Bash, Perl or Ruby.
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Extensive experience using the following programming languages: Python, TypeScript/JavaScript, Kotlin, Rust, R, SQL, Shell. - Extensive experience with data exploration exemplified by use of the following: pandas, R, SQL. Raster, OpenCV, Pillow, GDAL, Convolution, Vector: geos.
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The role requires expertise in programming (SAS, R, Python, SQL, or STATA) and quantitative analysis. 3+ years of experience in programming (SAS, R, Python, SQL, or STATA.
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Seeking a dynamic, goal-oriented Health Data Analytics Consultant to work on health and human services projects requiring intermediate SAS, R, Python, or SQL experience as well as knowledge of statistics and research methodology.
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Ability to proficiently operate and maintain workloads using Amazon S3, Amazon RDS SQL Server, DynamoDB, AWS Lambda, Amazon Simple Notification Service, AWS EventBridge, CloudWatch, CloudTrail, Python, TypeScript, and related tools.
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Proficiency in analytical software and tools including Python, SAS, R, SQL and other applications, such as Microsoft Excel/VBA and Access; Demonstrating proficiency in analytical software and tools including Python, SAS, R, SQL and other applications, such as Microsoft Excel/VBA and Access.
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8+ years of relevant professional experience including managing data science and analytics projects, with a background in performing data science and analytics using tools such as Python, R, SAS, SQL, Tableau, Power BI, etc.
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Your expertise in ETL, DataBricks, Python, Spark, Scala, JavaScript/JSON, SQL, and Jupiter Notebooks will be essential in ensuring efficient data processing and analysis. Job Responsibilities:- Design, develop, and implement end-to-end data pipelines, utilizing ETL processes and technologies such as DataBricks, Python, Spark, Scala, JavaScript/JSON, SQL, and Jupyter Notebooks.
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8+ years of experience using SAS, R, Python, or SQL in a research, consulting, or business environment. Apply machine learning, econometrics/statistics, predictive modeling, return-on-investment analysis, simulation, and data visualization methods to support the development of health policy.
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Experience with SharePoint content management and programming languages such as SQL, R, Python for Databricks in ADVANA. + Utilize experience with Qlik Sense, SQL, and Databricks, and exhibit an eagerness to learn new technologies.
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