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Spark

Date Posted: Sep 19, 2026

Job Detail

  • location_on
    Location Bengaluru, Karnataka, India
  • desktop_windows
    Job Type: Full Time/Permanent
  • schedule
    Shift:
  • analytics
    Career Level:
  • group
    Positions:
  • calendar_view_day
    Experience:
  • male
    Gender: No Preference
  • school
    Degree:
  • calendar_month
    Apply Before: Nov 14, 2026

Job Description

Join a data-driven team where your work with distributed processing helps turn complex datasets into meaningful insights. In this role, you’ll collaborate closely with engineers, analysts, and stakeholders to build reliable, scalable data solutions using Spark, contributing to faster decision-making and better customer outcomes. You’ll be encouraged to take ownership of deliverables, improve performance, and bring clarity to ambiguous problem statements through structured analysis and thoughtful implementation. If you enjoy solving large-scale data challenges, optimizing pipelines, and working in a collaborative environment that values learning and continuous improvement, this opportunity will help you grow your technical depth while making a visible impact across projects and teams.

Responsibilities

Key Responsibilities:

  • Design, develop, and maintain scalable data processing jobs using Spark for batch and/or near-real-time workloads.
  • Analyze large datasets to identify trends, anomalies, and data quality issues; implement validation and reconciliation checks.
  • Optimize Spark applications for performance by tuning partitions, caching strategies, memory usage, and execution plans.
  • Collaborate with cross-functional teams to translate business requirements into technical solutions and well-defined deliverables.
  • Implement robust error handling, logging, and monitoring to ensure reliability and easier troubleshooting.
  • Participate in code reviews, follow engineering best practices, and contribute to reusable components and standards.
  • Support deployments and production issues by performing root-cause analysis and implementing preventive fixes.

Technical requirements

  • Primary skills:Technology->Big Data - Data Processing->Spark

Additional responsibilities

Minimum Qualifications:

  • Bachelor’s degree (or equivalent) in Engineering/Technology/Computer Science or related field (BTech/BE/MSc or equivalent).
  • 3–5 years of experience working on data engineering or big data processing initiatives.
  • Hands-on experience building and maintaining Spark-based data processing solutions.
  • Strong understanding of distributed computing concepts and data processing fundamentals.
  • Ability to work independently on assigned modules and collaborate effectively within a team.

Preferred Qualifications:

  • Master’s degree (MTech/MCA or equivalent) in a relevant discipline.
  • Proven experience delivering end-to-end Spark pipelines, including development, testing, and production support.
  • Experience improving job performance and stability through Spark tuning and structured troubleshooting practices.
  • Familiarity with building reusable frameworks/components to standardize Spark development across projects.
  • Strong communication skills to explain technical trade-offs and align solutions with stakeholder expectations.

Good to have skills:

Hadoop, Hive, Kafka, Airflow, Delta Lake

Preferred skills

  • Technology › Big Data - Data Processing › Spark

About the role

  • Role: Technology Analyst
  • Experience: 3 - 5 years
  • Education: MCA, MSc, MTech, Bachelor of Engineering, BTech

Source: Infosys careers — Read the original posting and apply

This role is listed by the employer on its own careers site. Kaam Ki Khoj does not process applications for it.

Company Overview

Infosys
Infosys · Bengaluru, Karnataka, India
1,811 open roles

Infosys is an employer in the IT/Computers - Software, Software Services sector with operations in India. This is a directory listing maintained by Kaam Ki Khoj so that candidates can find the organisation; it is not an official company page and Kaam... Read More

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