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Data Engineer
Service based company
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Data Engineer

at Service based company

3 - 8 yrs
₹8L - ₹13L / yr
Remote only
Skills
pandas
PySpark
Big Data
Data engineering
Performance optimixation
oo concepts
SQL
skill iconPython
Data pre-processing, data transformation, data analysis, and feature engineering, 
The candidate must have Expertise in ADF(Azure data factory), well versed with python.
Performance optimization of scripts (code) and Productionizing of code (SQL, Pandas, Python or PySpark, etc.)
Required skills:
Bachelors in - in Computer Science, Data Science, Computer Engineering, IT or equivalent
Fluency in Python (Pandas), PySpark, SQL, or similar
Azure data factory experience (min 12 months)
Able to write efficient code using traditional, OO concepts, modular programming following the SDLC process.
Experience in production optimization and end-to-end performance tracing (technical root cause analysis)
Ability to work independently with demonstrated experience in project or program management
Azure experience ability to translate data scientist code in Python and make it efficient (production) for cloud deployment
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Shubham Vishwakarma's profile image

Shubham Vishwakarma

Full Stack Developer - Averlon
I had an amazing experience. It was a delight getting interviewed via Cutshort. The entire end to end process was amazing. I would like to mention Reshika, she was just amazing wrt guiding me through the process. Thank you team.
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https://www.linkedin.com/talent/contract-chooser?contractId=226414898&;destUrl=https%3A%2F%2Fwww.linkedin.com%2Ftalent%2Fjob-posting%2Fonline%2Fdescription%3FjobId%3D3280386905">Edit job description
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A Technology solution for an Investment platform.
A Technology solution for an Investment platform.
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Apply if

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Shubham Vishwakarma's profile image

Shubham Vishwakarma

Full Stack Developer - Averlon
I had an amazing experience. It was a delight getting interviewed via Cutshort. The entire end to end process was amazing. I would like to mention Reshika, she was just amazing wrt guiding me through the process. Thank you team.
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