ONLY H1B WITH PASSPORT NUMBER & LOCALS NEEDED
Hi,
Pleasure mailing you. Please go through the below requirement and let me know if you are comfortable for the position.
Please send me your updated resume along with the best hourly rate, work authorization status and availability.
An early response is really appreciated.
Job Title: Data Engineer
Location: New York City, NY (Onsite)
Duration: 12+ Months
Job Description: Summary:
The main function of the Data Engineer is to develop, evaluate, test and maintain architectures and data solutions within our organization. The typical Data Engineer executes plans, policies, and practices that control, protect, deliver, and enhance the value of the organization’s data assets.
MUST Have experience:
- Coding experience (Python required; SQL strongly preferred)
- Some hardware data experience. Sensor data collection
- Experience with hardware/sensor data and data collection (e.g., IMU/EMG/optical or similar)
- Debugging/troubleshooting ability across software and hardware interfaces, with a focus on data quality and reliability.
Nice to Have skills
- Additional years/depth of engineering experience beyond the minimum level
- Signal processing experience (especially time-domain signals such as EMG/IMU).
- Scientific computing experience and experience working with large, high-dimensional datasets
Job Responsibilities:
- Design, plan, and execute data collection studies, working closely with research and product teams to gather high-quality biosensor data.
- Monitor and maintain the quality and integrity of large datasets, implementing robust data validation, cleaning, and quality custom/specialized monitoring processes for multiple sensor streams (IMU, EMG, optical sensors, etc).
- Debug and troubleshoot firmware and software issues related to data collection, ensuring reliable data acquisition from hardware sensors.
- Execute, debug, and optimize distributed compute workflows for metric computation and analysis across large datasets.
- Build, modify, and maintain custom/specialized benchmarking tools, frameworks, and flows for evaluating and comparing model performance on large datasets.
- Generate and test hypotheses and analyze and interpret the results of data collection experiments.
- Leverage data visualization to help the team make decisions.
Skills:
- Experience with hardware sensors, data collection infrastructure, and data analysis pertaining to real-world human data.
- Experience with signal processing pertaining to time domain signals and/or medical imaging systems.
- Experience working with and managing large, high-dimensional datasets.
- 2+ years of experience performing data extraction, manipulation, and visualization using Python and SQL.
- Strong debugging skills, particularly related to data acquisition and firmware/software interfaces.
- Experience with Javascript/Typescript for front-end UI development.
- Experience with scientific computing and analysis packages such as NumPy, SciPy, Pandas.
- Experience with data visualization libraries such as Matplotlib, Pyplot, Seaborn, ggplot2.
Education/Experience:
• Bachelor's or Master of Science degree in computer science, electrical engineering, statistics, neuroscience, biomedical engineering, or other relevant field is required.
Thanks & Regards,
Ch Anvesh Kumar
US IT Recruiter – Talent Acquisition Group
Email : Anveshc@tekskillsinc.com |
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