We are in the process of developing a Product for eCommerce. This product is getting deployment. Here, we want to develop a set of offline tools to help the testing, check for integrity.
The tools to be developed will have as inputs Multiple Data Sources: DataBases, csv files. The tools will extract the data, do the integrity checks, and log the outcomes.
The person we are looking for will have an excellent knowledge of Python, Pandas, Numpy. The work will be on the Jupyter, Linux environment under GCP cloud Server. He/She will need to sign a Non-Disclosure Agreement which is mutual in nature.
The experience in working with Java Scripts will be an added advantage
Hey,
how you doing?
I have gone through your work. I have prior experience in jupyter notebook , gcs , pandas as well as numpy .
I am a data science enthusiast and a College student .
I would like to work with you.
So let's discuss the details without wasting time.
Thanks
Hi
I am a senior software engineer and having 6 yrs of experience in python. I have very good knowledge of numpy and pandas. I have worked on so many projects that are having billions of data and we have cleaned and operated that data. please initiate discussion with me ahead so that I can assure you that I am the right person for which you are looking..
Thanks for your precious time.
Hi,
I have 3+ years of work experience as a Data Scientist and have worked on more than 10+ projects related to Python stack(Python, numpy, pandas, scipy etc.). I have worked on AWS services(Sagemaker/EC2) previously and can work on GCP too. Would like to hear more about the Project to understand the requirements so that I can share a project plan for the same.
Hi, I’m a Senior Software Engineer with 6+ years of experience. Working with Python, JS, Golang, Data Engineering and WebOps.
I believe I can deliver your task with a production grade quality.