"Data Analytics Engineer: Required Technical Skills/Education:

-Excellent understanding of data mining , machine learning techniques, Gen AI and algorithms

Knowledge on statistical programming languages, Python, SQL, etc, to process data and gain insights from it

Strong coding experience: Python

- Solid background in database management tools such as SQL

- Broad set of technical skills and expertise in machine learning focused on cutting edge technologies such as IoT, artificial intelligence (AI), and cloud computing

- Familiar with IoT framework and experience in implementing analytics algorithms in any of the cloud-based platforms AWS, Azure, GCP

- Fluent English (both written and spoken), solid technical writing, presentation and communication skills

- Good understanding of control systems

- Strong hands-on experience in collecting, filtering, organizing, and analyzing large-scale dataset using cloud-based platform

- Strong hands-on experience in implementing analytics algorithms to cloud-based IoT platforms (Microsoft Azure preferred)

Strong hands-on experience with the following libraries from Python: Pandas, Numpy, Scipy, Scikit-Learn, TensorFlow, Matplotlib, Seaborn, Plotly, SALib

- Familiar with vectorized implementation of analytics algorithms

- Experience with developing end-to-end analytics solution using Python or cloud-based implementation is a plus

"

Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.

Data Analytics Engineer

Job Description

No Referrers Available