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Power Programmer - Senior Technologist. Data Engineering (Q2-FY-26)

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Onsite

Power Programmer - Senior Technologist. Data Engineering (Q2-FY-26)

Infosys

Power Programmer - Senior Technologist. Data Engineering (Q2-FY-26)

Skills

SQL QueriesBig DataData EngineeringPythonJavaAWS LambdaKafkaAmazon RedshiftScalaAWSApache AirflowHadoop

2 months 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 Requirements Bachelor of Engineering,Bachelor Of Technology

Service Line Strategic Technology Group

Responsibilities

  • 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.

Additional Responsibilities:

  • MandatoryAWS Glue, AWS Redshift/Spectrum, S3, API Gateway, Athena, Step and Lambda functions
  • Experience in Extract Transform Load (ETL) and Extract Load Transform (ELT) data integration pattern.
  • Experience in designing and building data pipelines.
  • Development experience in one or more object-oriented programming languages, preferably Python

Technical and Professional Requirements:

  • Indepth hands on experience of developing, testing, deployment and debugging of Spark Jobs using Scala in Hadoop Platform
  • In depth knowledge of Spark Core, working with RDDs, Spark SQL
  • In depth knowledge on Spark Optimization Techniques and Best practices
  • Good Knowledge of Scala Functional Programming: Try, Option, Future, Collections
  • Good Knowledge of Scala OOPS: Classes, Traits and Objects (Singleton and Companion), Case Classes.
  • Scala Language Features: Type System, Implicit/Givens
  • Hands on experience of working in Hadoop Environment (HDFS/Hive), AWS S3, EMR, Workflow Orchestration tools like Airflow, Oozie
  • Understanding and exposure to file formats such as Apache AVRO, Parquet, JSON
  • Writing Test cases using frameworks such as scalatest.
  • Experience on using GIT, resolving conflicts, working with branches.
  • Strong programming skills using data structures and algorithms.

Preferred Skills:

  • Technology->Big Data->Big Data - ALL
  • Technology->Big Data - Hadoop->Hadoop
  • Technology->Java->Apache->Kafka
  • Technology->Functional Programming->Scala
  • Technology->Big Data - Data Processing->Spark

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