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ProtoGene Consulting Private Limited
ProtoGene Consulting Private Limited cover picture
ProtoGene Consulting Private Limited logo

ProtoGene Consulting Private Limited

http://www.protogeneconsulting.com
Founded :
2018
Type :
Services
Size :
0-20
Stage :
Bootstrapped

About

Enabling organizations to utilize the power of technology to transform the data asset into knowledge to execute. ProtoGene provides consulting and services to organizations for • Advanced Analytics & Predictive Modeling • Data Visualization • Data Management • Data Governance
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Connect with the team

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Tarun Soni

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Jobs at ProtoGene Consulting Private Limited

ProtoGene Consulting Private Limited
at ProtoGene Consulting Private Limited
1 recruiter
Anand Singh
Posted by Anand Singh
icon

The recruiter has not been active on this job recently. You may apply but please expect a delayed response.

Mumbai
3 - 8 yrs
₹7L - ₹18L / yr
PySpark
Data engineering
Big Data
Hadoop
Spark
+4 more

Data Engineer + Integration engineer + Support specialistExp – 5-8 years

Necessary Skills:· SQL & Python / PySpark

· AWS Services: Glue, Appflow, Redshift

· Data warehousing

· Data modelling

Job Description:· Experience of implementing and delivering data solutions and pipelines on AWS Cloud Platform. Design/ implement, and maintain the data architecture for all AWS data services

· A strong understanding of data modelling, data structures, databases (Redshift), and ETL processes

· Work with stakeholders to identify business needs and requirements for data-related projects

Strong SQL and/or Python or PySpark knowledge

· Creating data models that can be used to extract information from various sources & store it in a usable format

· Optimize data models for performance and efficiency

· Write SQL queries to support data analysis and reporting

· Monitor and troubleshoot data pipelines

· Collaborate with software engineers to design and implement data-driven features

· Perform root cause analysis on data issues

· Maintain documentation of the data architecture and ETL processes

· Identifying opportunities to improve performance by improving database structure or indexing methods

· Maintaining existing applications by updating existing code or adding new features to meet new requirements

· Designing and implementing security measures to protect data from unauthorized access or misuse

· Recommending infrastructure changes to improve capacity or performance

Experience in Process industry

Data Engineer + Integration engineer + Support specialistExp – 3-5 years

Necessary Skills:· SQL & Python / PySpark

· AWS Services: Glue, Appflow, Redshift

· Data warehousing basics

· Data modelling basics

Job Description:· Experience of implementing and delivering data solutions and pipelines on AWS Cloud Platform.

· A strong understanding of data modelling, data structures, databases (Redshift)

Strong SQL and/or Python or PySpark knowledge

· Design and implement ETL processes to load data into the data warehouse

· Creating data models that can be used to extract information from various sources & store it in a usable format

· Optimize data models for performance and efficiency

· Write SQL queries to support data analysis and reporting

· Collaborate with team to design and implement data-driven features

· Monitor and troubleshoot data pipelines

· Perform root cause analysis on data issues

· Maintain documentation of the data architecture and ETL processes

· Maintaining existing applications by updating existing code or adding new features to meet new requirements

· Designing and implementing security measures to protect data from unauthorized access or misuse

· Identifying opportunities to improve performance by improving database structure or indexing methods

· Designing and implementing security measures to protect data from unauthorized access or misuse

· Recommending infrastructure changes to improve capacity or performance


Read more
ProtoGene Consulting Private Limited
at ProtoGene Consulting Private Limited
1 recruiter
Anand Singh
Posted by Anand Singh
icon

The recruiter has not been active on this job recently. You may apply but please expect a delayed response.

Vadodara
3 - 7 yrs
₹8L - ₹15L / yr
PySpark
Data engineering
Big Data
Hadoop
Spark
+4 more

Skills / Tools

  • SQL & Python / PySpark
  • AWS Services: Glue, Appflow, Redshift - Mandatory
  • Data warehousing basics
  • Data modelling basics

Job Description

  • Experience of implementing and delivering data solutions and pipelines on AWS Cloud Platform. Design/ implement, and maintain the data architecture for all AWS data services
  • A strong understanding of data modelling, data structures, databases (Redshift), and ETL processes
  • Work with stakeholders to identify business needs and requirements for data-related project
  • Strong SQL and/or Python or PySpark knowledge
  • Creating data models that can be used to extract information from various sources & store it in a usable format
  • Optimize data models for performance and efficiency
  • Write SQL queries to support data analysis and reporting
  • Monitor and troubleshoot data pipelines
  • Collaborate with software engineers to design and implement data-driven features 
  • Perform root cause analysis on data issues 
  • Maintain documentation of the data architecture and ETL processes 
  • Identifying opportunities to improve performance by improving database structure or indexing methods 
  • Maintaining existing applications by updating existing code or adding new features to meet new requirements 
  • Designing and implementing security measures to protect data from unauthorized access or misuse 
  • Recommending infrastructure changes to improve capacity or performance 
  • Experience in Process industry


Read more
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