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KEY QUALIFICATIONS: Python, SQL Data processing, ML experience Data Warehouse knowledge ETL pipeline knowledge Data Engineering Data Science Data Analytics, Data Mining PLEASE HAVE KNOWLEDGE OF ONE OR MORE OF THE FOLLOWING TECHNICAL SKILLS: Kubernetes, Tableau, PowerBi MongoDB Microsoft Cloud Services like Azure and AKS Snowflake SQL Server data platform Software development (including design, implementation, testing, and change management.
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Software engineering with data analysis software such as R, Python, SAS, or MATLAB. Using advanced cyber techniques, our team of technologists and analysts employ capabilities spanning traditional computing environments to Internet of Things (IoT), includingoffensive and defensive cyber operations and analysis, signals intelligence (SIGINT) discovery, and data science.
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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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Required background/ Skillsets: Prior working experience in Data bricks Snowflake Python Data science background Proficiency in Python for software development and scripting.
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Experience with microcontroller programming in C, Python, and Matlab. Our engineering expertise, plus a depth of knowledge in hardware, firmware and software design services, power IoT-era technology in a way that reduces complexity, and creates product designs of superior quality, with decreased cycle times for faster market entry, and improved ROI. We are currently seeking a diversly skilled and innovative Electrical Engineer - Contractor to support contract projects as the need arises.
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Developer, matlab, perl, php, sdet, software developer. Utilize programming languages like Java, Python, SQL, and Container Orchestration services including Docker and Kubernetes, CM tools including Ansible and Terraform, and a variety of AWS tools and services.
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The successful candidate will be pursuing a degree in Electrical Engineering, Computer Science, Mathematics, Mechanical Engineering, Physics or a related field with hands-on experience in one or more of the following areas: software development, graphical user interface development, real time software, MATLAB or C.
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Should have strong CAD design skills and experience with computer aided engineering tools such as AutoCAD, AutoCAD Electrical, SolidWorks Composer, Matlab, FEA / CFD Simulation, DriveWorks, etc.
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Strong proficiency in programming (e.g., SQL, Python, R, MATLAB), database technologies (Oracle, mySQL, relational databases; graph databases are a plus), machine learning/deep learning (network architectures are a plus), dimensionality reduction techniques (e.g., PCA), and possible cheminformatics software suites.
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Actively enrolled in an accredited Environmental Science, Environmental Engineering, Geology, Geochemistry, or related, Masters or PhD program with an anticipated graduation date of August 2025 or later.
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Master's in Computer Science, Computer Information Systems, or Management Information Systems plus three years of experience in software development using Python, Alteryx, SQL, OTBI reporting, Oracle BI Publisher, Oracle Fast Formulas, HCM Extracts, SOAP, REST API services, Workday HCM Modules, Workday Studio, Enterprise Interface Builder (EIB), Workday Report Writer, AWS Application Integration, Tableau, Excel, and JIRA. Excellent communication (oral and written) skills are also required.
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Bachelor's Degree Management Information Systems, Finance, Mathematics, Economics, Computer Science, Engineering, Statistics, Public Health, Epidemiology or related quantitative discipline.
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Bachelors degree or Masters degree in Computer Science, Computer Engineering, Electrical Engineering, Information Systems, IT. We want Data Science/Machine learning/Data Analyst and Java Full stack candidates.
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Bachelor’s degree in Computer Science, Computer Engineering, Software Engineering, Electrical Engineering, Wireless Engineering, Information Security, Mathematics, Digital Arts & Sciences or related field.
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Experience in Data Engineering leveraging AWS Redshift, S3, Glue, Airflow, Python, SQL and Kubernetes. Implement data pipelines using tools such as Apache Airflow, AWS Glue, Redshift, S3, Python, and Informatica Cloud.
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