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Senior Technologist-Data Engineering-Q2 FY 26

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Onsite

Senior Technologist-Data Engineering-Q2 FY 26

Infosys

Senior Technologist-Data Engineering-Q2 FY 26

Skills

Big DataData EngineeringPythonData ScienceKafkaAIScalaPySparkHadoop

2 months ago

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Important information


Contract type:

Permanent

Location:

Bengaluru, Karnataka, India

Work mode:

Onsite

Published on:

12 August 2026

What they need


Educational Requirements

Bachelor of Engineering

Service Line

Strategic Technology Group

Responsibilities

  • 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 Table
  • Technology->Functional Programming->Scala
  • Technology->Big Data - Data Processing->Spark->Spark Sreaming
  • Technology->Hadoop->Hadoop Ecosystem
  • Technology->AI-Data science->PYTHON
  • Technology->Big Data - Data Processing->PySpark

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