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Power Programmer - Specialist Programmer Data Engineering (Q2-FY-27)

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Onsite

Power Programmer - Specialist Programmer Data Engineering (Q2-FY-27)

Infosys

Power Programmer - Specialist Programmer Data Engineering (Q2-FY-27)

Skills

Big DataData EngineeringPythonKafkaDatabricksSplunkScalaHadoop

1 month ago

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Important information


Contract type:

Permanent

Location:

Bengaluru, Karnataka, India

Work mode:

Onsite

Published on:

7 September 2026

What they need


Educational RequirementsBachelor of Engineering Service Line Strategic Technology GroupResponsibilities

  • Power Programmer is an important initiative within Global Delivery to develop a team of Full Stack Developers who will be working on complex engineering projects, platforms and marketplaces for our clients using emerging technologies.
  • They will be ahead of the technology curve and will be constantly enabled and trained to be Polyglots.
  • They are Go-Getters with a drive to solve end customer challenges and will spend most of their time in designing and coding, End to End contribution to technology oriented development projects.
  • Providing solutions with minimum system requirements and in Agile Mode.
  • Collaborate with Power Programmers.
  • Open Source community and Tech User group.
  • Custom Development of new Platforms Solutions ,Opportunities.
  • Work on Large Scale Digital Platforms and marketplaces.
  • Work on Complex Engineering Projects using cloud native architecture .
  • Work with innovative Fortune 500 companies in cutting edge technologies.
  • Co create and develop New Products and Platforms for our clients.
  • Contribute to Open Source and continuously upskill in latest technology areas.
  • Incubating tech user group

Technical and Professional Requirements: Bigdata Spark, scala, hive, kafka Preferred Skills:

  • Technology->Big Data->Big Data - ALL
  • Technology->Big Data - Hadoop->Hadoop
  • Technology->Big Data - Hadoop->Splunk
  • Technology->OpenSystem->Python - OpenSystem->Python
  • Technology->Functional Programming->Scala
  • Technology->Big Data - Data Processing->Spark->Spark Sreaming
  • Technology->Data Engineering->Databricks

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