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8+ years of data engineering or data analysis experience using core data tools as Azure Data Factory, SSIS, and Apache Airflow and use of languages such as SQL, Python, R, and Excel.
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American Reg MRI Tech (ARMRIT), ARRT-MR Magnetic Res Imaging (ARRT-MR), ARRT-R Radiography (ARRT-R): Certified by the American Registry of Radiologic Technologists in Magnetic Resonance Imaging ARRT(MR) or Radiography ARRT(R.
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We seek a Data Engineer who brings a robust skill set and extensive experience in cloud-based data engineering experience particularly within the realm of Azure and Databricks using Python, PySpark and cloud SQL. Critical thinking and problem-solving abilities are paramount, as you will navigate evolving and complex requirements and collaborate with stakeholders across diverse technical backgrounds.
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Any additional experience in APIs (REST/JSON), Carbon Black, and/or Rapid7 will be a plus since they will help with data reporting and moving these vulnerability management tools into CrowdStrike.
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Experience with common data science tools such as Python, R, PyTorch, TensorFlow, Keras, NLTK, Spacy, or Neo4j, and a good understanding of modeling platforms such as Azure AutoML, SageMaker, DataBricks, DataRobot, and H2O.ai.
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Strong Statistical data analysis and data preparation/automation knowledge with SQL, JMP, SAS, Alteryx/DataIku, Tableau, and/or Python. You will be a key quality leader for site activities including data automation, statistical analysis, problem solving, action plans, RFCs, and preventative actions to reduce/eliminate risk to customer's product performance.
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The Python/Data Warehouse Developer will be responsible for designing and developing data interface solutions per user's requirements. Title: Python/Data Warehouse Developer.
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NET, Full Stack Developer, Information Security, Developers, Data Science, UX/UI, Cybersecurity, Machine Learning, Python Programmers, IT Staffing, IT Recruiting, IT Jobs, IT Consulting, IT Recruiters, and UI UX.
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Experience with data warehousing, data architecture, ETL data pipeline and/or data engineering environments at enterprise scale that are built on Python & Snowflake. Ability to create Python/SQL Procedures in Snowflake , Build a Data Pipeline efficiently in a cost-optimizing & performance efficient way.
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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.
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6 years of experience must include: Ab initio, Informatica, Data Stage; Teradata, IBM DB2, Cognos, Oracle PL SQL; Autosys, Control-M, Erwin, XML, HTML, CSS, Unix Shell Scripts; Data Analysis, Data Processing, Code Optimization, Performance tuning; Automating Business Process and Models; Microsoft Visio, Web Services, Crystal Reports; and HP Quality Center, ALM, VSS, EME, XSD. At least 3 years must include: Hadoop, HDFS, Big Data, Hive, Spark.
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C#, perl, programming, python, sdet, software developer, software development engineer. NET Core 6+), Python, Angular (or similar front end JavaScript language), and Web APIs. BA/BS in Software Engineering, Computer Science, Information Technology/Systems, or related field.
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Experience with common data science tools such as Python, R, PyTorch, TensorFlow, Keras, NLTK, Spacy, or Neo4j, and a good understanding of modelling platforms such as Azure AutoML, SageMaker, DataBricks, DataRobot, and H2O.ai.
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Data mining/programming tools (e.g. SAS, SQL, R, Python) Implement data ingestion and processing with the help of Big Data technologies. SAS, SQL, R, Python) Database technologies (e.g. PostgreSQL, Redshift, Snowflake.
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Experience with the following tools and technologies: -Hadoop, Spark, Hive, Elastic Search -Experience with various database and big data -Google Cloud DataFlow, Apache Beam Ability to develop and write technical specifications.
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big data science processing r python jobs Company: Pwc in Dallas, TX
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