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Utilize the following data analytics tools and technologies: Exploratory Analysis, Statistical Analysis, Regression Analysis, Predictive Modeling, Data Visualization, A/B Testing, SQL, R. Python, Hive, JIRA, Teradata, SAS, Hadoop, AWS, MapReduce, Spark, Greenfield, dataMiner, Visual Studio Code, Automation Portal, Microsoft Suite.
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Required Skills: Azure DevOps (VSTS), Terraform, Python, AWS DevOps. Required Skills: Azure DevOps (VSTS), Terraform, Python, AWS DevOps. Possess a strong background in Azure DevOps (VSTS) and AWS DevOps with hands-on experience.
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Experience with Apache Airflow, Hive, Snowflake, Kafka, Python. At least 4 years of experience in data engineering working with Big Data Technologies: Apache Spark, Pyspark, Hadoop, and DataBricks with delta lake.
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Proficient in programming languages such as Python, Scala, or SQL. In-depth knowledge of Apache Spark and its ecosystem. Hands-on experience with the Databricks platform and Apache Spark. Proficient in programming languages such as Python, Scala, or SQL. In-depth knowledge of Apache Spark and its ecosystem.
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In-depth and applied knowledge of data engineering tools and techniques, including ML Ops, Databricks and/or Snowflake, AWS, DBT, AI/GenAI Data Pipelines, Data Automation, Python, Model Monitoring, and Alerting.
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Strong scripting skills (ability to write Bash script, Python, Terraform, etc.) Cisco CCNA, CCNP, CompTIA Network+, or other network certifications. Work alongside other cloud engineers to design, automate, and support Infrastructure Landing Zones in our various public cloud providers (i.e. Azure, AWS, GCP, & OCI.
$135,000 a yearFull-timeExpandApply NowActive JobUpdated 20 days ago - UpvoteDownvoteShare Job
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Proficiency with People Analytics tools, including data visualization and analysis, highly desired (e.g., Visier, Crunchr, PowerBI, Workday, Python, R, Tableau). Proficiency with People Analytics tools, including data visualization and analysis, highly desired (e.g., Visier, Crunchr, PowerBI, Workday, Python, R, Tableau.
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5+ years of work experience in SAS, SQL, R, Python or related coding skills/tools. Knowledge in SAS, Python, SQL programs to independently perform data pulls/manipulation, data mining and creation risk & compliance reports.
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Programming experience (Matlab, Python) Experience in image processing and analysis Experience with MRI data, in particular diffusion MRI processing and analysis skills Peer reviewed research publications in reputed journals in the field Preferred Qualifications: Experience with MRI data in neurological disorders such as Amyotrophic Lateral Sclerosis (ALS) and Parkinson's disease.
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Proficiency in Python, and experience with deep learning frameworks such as PyTorch, Tensorflow/Keras, MXNet. Experience using Python is required; experience using SAS, STATA, R, EVIEWS, or comparable statistical software or languages (e.g., SQL) is also desirable.
$150,480 a yearFull-timeExpandApply NowActive JobUpdated 2 days ago - UpvoteDownvoteShare Job
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5 years of experience with PowerBI, Databricks, SQL, python, or Tableau highly recommended. Perform ad hoc analyses of healthcare data using MedInsight proprietary query and data visualization tools as well as use of Azure Databricks.
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Familiarity with data science concepts and tools (e.g., machine learning, AI, Python/R) Continuing the design, development, and documentation of Barr’s enterprise data warehouse, dashboarding, and self-service reporting ecosystem using the Microsoft BI toolset (SQL Server, SSIS, SSAS tabular, Power BI, Azure.
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We are looking for a mid/senior Python Developer. Minimum 3 years of experience working with Python. Knowledge of Django, Django Rest Framework, Docker, Docker-compose, relational databases (e.g. PostgreSQL), Flask, Redis, Celery, postgresql.
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NET, Python At least 6 year experience with databases and data modeling / design (SQL & NoSQL) Skills and Knowledge Extensive Experience: Minimum of 10-15 years of relevant experience in the financial services industry, with a focus on technology leadership and domain expertise in areas such as wealth management, securities solutions, data engineering, and private banking.
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The Geospatial Analyst will perform GIS functions including overlay analysis, data import/export, development of geospatial databases, conversion of GIS data among various formats, develop a sequence of GIS techniques to complete moderately complex GIS analyses and modify existing or create new programs using Python or similar.
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python job Company: Talent Software Services in Minneapolis, MN
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