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O Programming Language: Python, R, SQL, Java, Scala, Pyspark/Apache Spark, Shell scripting. Use programming languages including but not limited to Python, R, SQL, Java, Scala, Pyspark/Apache Spark, Shell scripting.
$105,100 - $156,500 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Building and managing CI/CD (Continuous Integration/Continuous Delivery) workflows and complex system integration using DevOps scripts and frameworks/tools Gitlab, Jenkins, BitBucket, Nexus, CVS and AppviewX. Hands on experience in scripting languages (shell, python, groovy), Terraform modules/templates, CloudFormation(AWS) or other Public Cloud platforms, operating systems (Linux and windows), Configuration Management tools (Chef or Puppet), network fundamentals to build automation framework.
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Strong proficiency in SQL, Python, and other programming languages relevant to data engineering. In-depth knowledge of data warehousing solutions (e.g., Postgres, Snowflake, Redshift, BigQuery.
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Experience may be gained concurrently and must include one (1) year in each of the following:-Building statistical models and machine learning models using large datasets from multiple resources-Working with Customer, Content, or Product data modeling and extraction-Using database technologies such as SQL or ETL-Applying specialized modelling software including Python, R, SAS, MATLAB, or Stata.
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High proficiency on data analysis using tools like R, Python, SQL (atleast one required/Python preferred) Qualitative skills: Independent contributor/Self starter Good communication and presentation skills to present work to Executive Leadership team Able to commute to client location - 25% Extensive knowledge of various pharmaceutical industry data sources such as: IQVIA (xPonent, xPonent PlanTrak, NPA, DDD, HCOS, and Patient Level data) or Symphony data.
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Primary Skills :- Data Studio or Looker Studio, Linux Shell Scrpt, SQL, GCP BigQuery, Python. Primary Skills :- Data Studio or Looker Studio, Linux Shell Scrpt, SQL, GCP BigQuery, Python. 1-2 years of working experience in converting ETL jobs( in Informatica/Talend,/DataStage) into Dataflow or Dataproc and migrated in CI\CD pipeline.
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Expertise in BigQuery query optimization and backend data preparation for integration with frontend tools such as Tableau and Power BI.Experience in data processing using Python scripting. Expertise in BigQuery query optimization and backend data preparation for integration with frontend tools such as Tableau and Power BI.Experience in data processing using Python scripting.
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Minimum years of programming experience in SAS/SQL/R/Python, with at least - years in the pharmaceutical industry. Requirements: Strong and advanced programming and analytical abilities in SAS/SQL/R/Python.
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Python, R and visualization tools (PowerBI and React) Expert: Azure Data Factory, Databricks, Spark, Azure SQL Database, Azure DevOps/Git, Data Lake, Delta Lake/Lakehouse architecture, Power BI. Working Knowledge: Azure WebApp, Azure Networking concepts.
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Various modeling, simulation, and data analysis roles including but not limited to COMSOL, ANSYS, Python, C. Various modeling, simulation, and data analysis roles including but not limited to COMSOL, ANSYS, Python, C.
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C#, C, Java, Ruby, HTML5, XML, SQL, Perl, Python, Ajax, Qt) on Windows, Linux, mobile platforms, and embedded real time operating systems (VxWorks, Linux, QNX, Integrity, Windows CE, and others for Motorola, Intel, TI, and custom processor designs.
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Has strong programming skills in Python/SAS (or similar analytics software) and has ability to work with large modeling datasets. Responsibilities Maintains an understanding of loss modeling techniques commonly used in CECL and Credit Risk Stress Testing/CCAR and ratings score carding processes such as transition ratings models, logistic regression/hazard models, competing state hazard models, vintage loss models, etc.
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6-8 years of strong experience in Spark, Python, Shell Scripting, PostgreSQL, Hadoop, AWS (S3, EC2, SNS, SQS, Lambda, ECS, Glue, IAM, and CloudWatch), Databricks (Delta lake, Notebooks, Pipelines, cluster management, Azure/AWS integration.
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Years of Experience: level 2 (3<5 years) Right to hire: Yes Job Description: Prudential Global Technology is seeking an onshore resource, with RTH that will support reporting needs (Tableau, Python, Data modeling and optimization.
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Knowledge of Statistics, SAS, Python, Computer Vision, data visualization tools. entry-level software programmers, Java Full stack developers, Python/Java developers, Data analysts/ Data Scientists, Machine Learning engineers.
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python job Company: Oscar Associates in Livingston, NJ
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