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Design and implement distributed data processing pipelines using Spark, Hive, Python, Airflow, and other tools and languages prevalent in the Hadoop ecosystem. As a Sr. Big Data Engineer, you will work with a variety of talented teammates and be a driving force in technical initiatives that will accelerate analytics at Client.
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Expertise in statistical software (e.g., R, SAS), programming languages (e.g., Python, SQL), and big data technologies (e.g., Hadoop, Spark). Strong experience with machine learning libraries (e.g., scikit-learn, TensorFlow) and data visualization tools (e.g., Tableau, PowerBI.
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6 years An equivalent of 6 years experience with big data, database query and analysis languages (e.g. Python, SQL, Snowflake SQL, R, Scala, SAS, Azure DataBricks) and data visualization tools (e.g. Power BI, Tableau) required.
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Develop state-of-the-art UVMf-based top-level and module-level testbenches using block-to-top best practices for reusability, including both control and data plane stimulation using VIP & System Verilog DPI-C integration with existing MATLAB and Python numerical models.
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In this role you will be using Snowflake, Python, Spark, PySpark, SQL, AWS, Airflow, Redshift, and Databricks. Python, Cloud, Snowflake, Airflow, and Spark professional. A cutting-edge AI Series C well-funded startup that is in a rapidly growing phase, looking to IPOis hiring a Principal/Staff level Data Engineer to join their team.
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We have work to do to; establish a standard data model within a future proofed environment, continue to develop analytic tools across chosen software (Tableau/Power BI) and to build analytical skills across the business.
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Demonstrated computer skills in data visualization and reporting tools including Power BI, Tableau, and MS Office Products. Proficiency in statistical analysis tools/languages such as R, Python, or SAS, a plus.
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Experience in data sourcing technologies (external APIs, web-scraping, EDI files, etc.) 3+ years programming in Python, or Java/kotlin/scala is fine as well! Lead data ingestion (web-scraping, APIs, or any other protocoles) strategy.
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KARL STORZ is currently seeking a highly motivated Data Analyst to join the Operations team. This opportunity will get you working on large-scale structured, unstructured data sets, and apply various data engineering and modeling techniques on real-world datasets to build and deploy models.
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Proficiency writing software for test automation, data review, and design analysis, preferably in MATLAB or Python. Proficient in electrical schematic capture and PCB design (eCAD) software (e.g., Altium, Orcad.
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Expert knowledge of at least one data science programming language (e.g. Python, R, Julia, etc.) and relevant data science and visualization libraries (scikit-learn, pandas, ggplot, etc.
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In collaboration with campus partners such as the General Counsel and the Associate Dean of Faculty Affairs, provide guidance to search committees in adhering to institutional policies and legal requirements throughout the search process, while also outlining standard search timelines and processes to maintain consistency and efficiency in recruitment.
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Experience using SQL, R, Python, Tableau, Excel, or other analytical and statistical tools for visual presentation and data analysis. Our ideal candidate will be a data enthusiast with hands-on experience in SQL, Python, Tableau, or similar tools, and proficiency in mid/large data warehouses.
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Proficiency with design engineering tools such as NX, TeamCenter, Ansys or Femap, as well as engineering scripting language such as Python or MATLAB. Proficiency with design engineering tools such as NX, TeamCenter, Ansys or Femap, as well as engineering scripting language such as Python or MATLAB.
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Data Entry Work From Home - Join Focus Group Panel (Up To $750/We. Top Local Music Coordinator Job Search Near Me. data entry operator. Things Must be Known About Search Engine Optimization.
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