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The successful candidate will develop and support a wide variety of data engineering pipelines utilizing tools including Azure Databricks, Azure Data Factory, Azure Data Lake Store and Azure Synapse.
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Proven experience expertise in UI development and advanced data visualization development and integrationDesign and develop intuitive and visually appealing user interfaces for web applications or websites using HTML, CSS, and JavaScript and front-end frameworks such as React, Angular, or Vue.js.
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This Data Mining and Analysis Lead Engineer role is centered around supporting the Vehicle, Hardware-in-the-Loop (HIL), Software-in-the-Loop (SIL), and Virtual Simulation test teams with robust and accurate scripts, both for automating tests and for analyzing the resulting test data for Autonomous Driving OEM projects.
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Knowledge of Statistics, Gen AI, LLM, Python, Computer Vision, data visualization tools. Preferred skills: NLP, Text mining, Tableau, PowerBI, Databricks, Tensorflow. We want Data Science/Machine learning/Data Analyst and Java Full stack candidates.
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Our data visualization tool is Looker. 5+ years of data engineering experience. Our engineering department consists of 200+ people across multiple teams, such as application development, infrastructure, data platform, machine learning, and security.
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A bachelor’s or master’s degree in geology, mining, geological, or civil engineering; an advanced degree in business administration is helpful. Extensive experience in commercial mining engineering software (e.g., Surpac, Vulcan, Carlson, Minesched, and GIS) and proficiency in programming skills (e.g., TCL, Lisp, Visual Basic, and other programming languages) are also preferred.
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Bachelors degree or Masters degree in Computer Science, Computer Engineering, Electrical Engineering, Information Systems, IT. Currently, We are looking for entry-level software programmers, Java full-stack developers, Python/Java developers, Data analysts/ Data Scientists, and Machine Learning engineers for full-time positions with clients.
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For data Science/Machine learning Positions. Who Should Apply Recent Computer Science/Engineering /Mathematics/Statistics or Science Graduates or People looking to switch careers or who have had gaps in employment and are looking to make their careers in the Tech Industry.
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Data mining and analysis for ad hoc projects will include: exploratory data analysis, and data visualization. - 3+ years of experience as Data Analyst, Business Intelligence Developer, or a related analytical role - High degree of proficiency in data visualization (Power BI, Tableau, Spotfire, Excel.
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Spring boot, Microservices, Docker, Jenkins, Github, Kubernetes, and REST API experience. We at Synergistic understand the problem of the mismatch between employer's requirements and Employee skills and that's why since 2010 we have helped 1000's of candidates get jobs at technology clients like Apple, google, Paypal, Western Union, Client, visa, Walmart lab s etc to name a few.
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We assist in filing for STEM extension and also for H1b and Green card filing to Candidates. If you get emails from our Job Placement team and are not interested please email them or ask them to take you off their distribution list and make you unavailable as they share the same database with the client servicing team and only connect with candidates who match client requirements.
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Experience with data visualization tools and packages (e.g. Looker, Domo, Tableau, MixPanel). 3+ years of working experience in a data engineering or data engineering adjacent role.
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Our specialized data centers run computing-intensive applications powered by clean energy for: Cryptocurrency Mining Artificial Intelligence Deep Learning Machine Learning Scientific Computing Natural Language Processing Video Transcoding and more.
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Currently, We are looking for entry-level software programmers, Java Full stack developers, Python/Java developers, Data analysts/ Data Scientists, Machine Learning engineers for full time positions with clients.
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Conduct extensive collections and analytic modeling, data processing, data mining, and visualization. Senior Exploitation Specialist Data Scientist: Position Responsibilities (O-M): Support NSG strategies through the creation of automated collection models, dynamic analytic models, workflow automations, and any other automation processes and products as assigned.
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data mining engineering visualization jobs Title: data Company: Keylent Inc
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