Data Engineer

Data Engineer at PAGO Analytics India Pvt Ltd · Remote, Bengaluru (Bangalore), Mumbai, Delhi, Gurugram, Noida · 2 - 8 years · ₹8L - ₹15L / yr · Profitable · Remote friendly · Posted 6 Jul 2021

Data Engineer

at PAGO Analytics India Pvt Ltd

Posted by Vijay Cheripally

2 - 8 yrs

₹8L - ₹15L / yr

Remote, Bengaluru (Bangalore), Mumbai, Delhi, Gurugram, Noida

Skills

Python

PySpark

Microsoft Windows Azure

SQL Azure

Data Analytics

Java

J2EE

Data storage

MLS

Spark

Dat lake

Be an integral part of large scale client business development and delivery engagements

Develop the software and systems needed for end-to-end execution on large projects

Work across all phases of SDLC, and use Software Engineering principles to build scaled solutions

Build the knowledge base required to deliver increasingly complex technology projects

Object-oriented languages (e.g. Python, PySpark, Java, C#, C++ ) and frameworks (e.g. J2EE or .NET)

Database programming using any flavours of SQL

Expertise in relational and dimensional modelling, including big data technologies

Exposure across all the SDLC process, including testing and deployment

Expertise in Microsoft Azure is mandatory including components like Azure Data Factory, Azure Data Lake Storage, Azure SQL, Azure DataBricks, HD Insights, ML Service etc.

Good knowledge of Python and Spark are required

Good understanding of how to enable analytics using cloud technology and ML Ops

Experience in Azure Infrastructure and Azure Dev Ops will be a strong plus

Be an integral part of large scale client business development and delivery engagements

Develop the software and systems needed for end-to-end execution on large projects

Work across all phases of SDLC, and use Software Engineering principles to build scaled solutions

Build the knowledge base required to deliver increasingly complex technology projects

Object-oriented languages (e.g. Python, PySpark, Java, C#, C++ ) and frameworks (e.g. J2EE or .NET)

Database programming using any flavours of SQL

Expertise in relational and dimensional modelling, including big data technologies

Exposure across all the SDLC process, including testing and deployment

Expertise in Microsoft Azure is mandatory including components like Azure Data Factory, Azure Data Lake Storage, Azure SQL, Azure DataBricks, HD Insights, ML Service etc.

Good knowledge of Python and Spark are required

Good understanding of how to enable analytics using cloud technology and ML Ops

Experience in Azure Infrastructure and Azure Dev Ops will be a strong plus

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