Company:
Verdant Infotech Solutions
Location: Copper Canyon
Closing Date: 16/10/2024
Hours: Full Time
Type: Permanent
Job Requirements / Description
Data Scientist - Python Data Analyst/ Engineer
Location: Remote must work Eastern hours
Long Term
Interview Process: 2 rounds 1 st interview w/ Sr. Data Engineer and 1 other person on the team 1-1.5hrs VERY technical and will include live coding exercises in Python. 2 nd interview panel w/ members from the team minimal tech questions, mainly team fit questions.
This is will be a backfill role for a candidate we currently have on billing with this team, resume attached.
Python skills + Data Analytics. Proven ability to work independently.
With the Sr. Lead Data Engineer on the team out on maternity leave, they have not been able to keep pace on their own.
But we need to jump on this to get candidates over by eod today so we can schedule interviews next week !
This role will work very close with the Sr. Engineer on the team to clean up the database and ensure data ethnicity and validity.
End goal of this role/ project clean up that databases. Cleaning up low hanging names that are not linked correctly in the database, determining if naming conventions need to be linked together or not, to ensure accurate data matches. Currently the security alerting system is not fully providing all of the security matches and proper licensing requirements and expirations notifications because there are multiple data/ naming conventions in the system that are not correct, therefore there are no notifications being generated.
Looking for someone that is not only a self-starter but a self-learner that can think outside of the box. someone that feels comfortable and confident to bring up ideas around what they can do to improve the quality and/or processes.
Must be a good communicator and researcher need to really dig in and come up with creative solutions. This role will be A LOT of researching!
Responsible for pulling data from the API in Python, doing Data analysis on what comes back from the API.
This role will be focused on natural language processing. Example how names can be matched to each other and knowing how to do that kind of work in Python.
Need to be good at explaining thought processes, researching, presenting findings their case and the data/ research behind it.
Full Job Description
Data Analyst/ Engineer - Python
Collaborate with team members to analyze data
Maintain database/metadata and adherence to conventions and data governance
Clean up current backlogged data management items
Eventually, become an SME in the field of software component analysis
Work with leadership to identify current data management issues and opportunities for improvement in the current process used to ratify data
Devise and implement solutions to speed up workflow in data cleaning in Python
Qualifications - Required
Intermediate practical knowledge of using regex and fuzzy matching to do string similarity mapping
3+ years of hands-on experience with data analysis tools including Python using the Pandas module
3+ years of experience using APIs in Python, including managing unstructured data
Experience using secured APIs (credentialed/tokenized)
Intermediate practical experience using command-line Linux
Qualifications - Desired
Bachelor's degree in science, engineering, statistics, mathematics, economics, or other fields related to the position
Intermediate practical general knowledge of Linux, including commonly used software packages and Distros/Operating Systems
Experience with MongoDB or other NoSQL databases is a plus
|
,
5208 Windsor Ln, Copper Canyon, Texas, 75077
Location: Remote must work Eastern hours
Long Term
Interview Process: 2 rounds 1 st interview w/ Sr. Data Engineer and 1 other person on the team 1-1.5hrs VERY technical and will include live coding exercises in Python. 2 nd interview panel w/ members from the team minimal tech questions, mainly team fit questions.
This is will be a backfill role for a candidate we currently have on billing with this team, resume attached.
Python skills + Data Analytics. Proven ability to work independently.
With the Sr. Lead Data Engineer on the team out on maternity leave, they have not been able to keep pace on their own.
But we need to jump on this to get candidates over by eod today so we can schedule interviews next week !
This role will work very close with the Sr. Engineer on the team to clean up the database and ensure data ethnicity and validity.
End goal of this role/ project clean up that databases. Cleaning up low hanging names that are not linked correctly in the database, determining if naming conventions need to be linked together or not, to ensure accurate data matches. Currently the security alerting system is not fully providing all of the security matches and proper licensing requirements and expirations notifications because there are multiple data/ naming conventions in the system that are not correct, therefore there are no notifications being generated.
Looking for someone that is not only a self-starter but a self-learner that can think outside of the box. someone that feels comfortable and confident to bring up ideas around what they can do to improve the quality and/or processes.
Must be a good communicator and researcher need to really dig in and come up with creative solutions. This role will be A LOT of researching!
Responsible for pulling data from the API in Python, doing Data analysis on what comes back from the API.
This role will be focused on natural language processing. Example how names can be matched to each other and knowing how to do that kind of work in Python.
Need to be good at explaining thought processes, researching, presenting findings their case and the data/ research behind it.
Full Job Description
Data Analyst/ Engineer - Python
Collaborate with team members to analyze data
Maintain database/metadata and adherence to conventions and data governance
Clean up current backlogged data management items
Eventually, become an SME in the field of software component analysis
Work with leadership to identify current data management issues and opportunities for improvement in the current process used to ratify data
Devise and implement solutions to speed up workflow in data cleaning in Python
Qualifications - Required
Intermediate practical knowledge of using regex and fuzzy matching to do string similarity mapping
3+ years of hands-on experience with data analysis tools including Python using the Pandas module
3+ years of experience using APIs in Python, including managing unstructured data
Experience using secured APIs (credentialed/tokenized)
Intermediate practical experience using command-line Linux
Qualifications - Desired
Bachelor's degree in science, engineering, statistics, mathematics, economics, or other fields related to the position
Intermediate practical general knowledge of Linux, including commonly used software packages and Distros/Operating Systems
Experience with MongoDB or other NoSQL databases is a plus
|
,
5208 Windsor Ln, Copper Canyon, Texas, 75077
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