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Data Engineer(Pyspark +Sql )
Data Engineer(Pyspark +Sql )
Fragma Data Systems's logo

Data Engineer(Pyspark +Sql )

Minakshi Kumari's profile picture
Posted by Minakshi Kumari
1 - 5 yrs
₹10L - ₹15L / yr
Remote only
Skills
SQL
PySpark
Responsible for developing and maintaining applications with PySpark 
• Contribute to the overall design and architecture of the application developed and deployed.
• Performance Tuning wrt to executor sizing and other environmental parameters, code optimization, partitions tuning, etc.
• Interact with business users to understand requirements and troubleshoot issues.
• Implement Projects based on functional specifications.

Must Have Skills:
• Good experience in Pyspark - Including Dataframe core functions and Spark SQL
• Good experience in SQL DBs - Be able to write queries including fair complexity.
• Should have excellent experience in Big Data programming for data transformation and aggregations
• Good at ELT architecture. Business rules processing and data extraction from Data Lake into data streams for business consumption.
• Good customer communication.
• Good Analytical skills
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Subodh Popalwar's profile image

Subodh Popalwar

Software Engineer, Memorres
For 2 years, I had trouble finding a company with good work culture and a role that will help me grow in my career. Soon after I started using Cutshort, I had access to information about the work culture, compensation and what each company was clearly offering.
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About Fragma Data Systems

Founded :
2015
Type :
Products & Services
Size
Stage :
Profitable
About

Fragma is a leading Big data, AI and Advanced analytics company provideing services global clients.

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Connect with the team
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Mallikarjun Degul
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Sandhya JD
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Varun Reddy
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Priyanka U
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Simpy kumari
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Minakshi Kumari
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Latha Yuvaraj
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Vamsikrishna G
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Subodh Popalwar's profile image

Subodh Popalwar

Software Engineer, Memorres
For 2 years, I had trouble finding a company with good work culture and a role that will help me grow in my career. Soon after I started using Cutshort, I had access to information about the work culture, compensation and what each company was clearly offering.
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