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Spark-Java, DBX

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

About the job:

Join a fast-paced engineering team where you’ll help build and optimize data-driven solutions that power meaningful business outcomes. In this role, you’ll work at the intersection of Java engineering and big data processing with Spark, leveraging DBX to deliver scalable, reliable pipelines and services. You’ll collaborate closely with data engineers, platform teams, and stakeholders to translate requirements into well-structured implementations, improve performance, and strengthen data quality. If you enjoy solving complex problems, working with modern data platforms, and taking ownership from design to delivery, this is a great opportunity to grow your impact while learning from a collaborative and supportive team culture.

Responsibilities

Key Responsibilities:

  • Design, develop, and maintain Spark-based data processing jobs using Java aligned to business and technical requirements.
  • Build and enhance ETL workflows, ensuring accuracy, completeness, and consistency of processed datasets.
  • Implement integrations and workflows on DBX, supporting scalable execution and operational reliability.
  • Optimize Spark jobs for performance (partitioning, caching, shuffle tuning) and cost efficiency.
  • Write clean, maintainable code with appropriate logging, error handling, and unit/integration tests.
  • Troubleshoot production issues, perform root-cause analysis, and implement preventive fixes.
  • Collaborate with cross-functional teams to refine requirements, plan deliveries, and ensure smooth releases.
  • Document technical designs, data flows, and operational runbooks to support long-term maintainability.

Minimum Qualifications:

  • 3–5 years of hands-on experience in software/data engineering roles.
  • Bachelor’s or Master’s degree: BTECH, MTECH, MCA, MSC.
  • Strong programming experience in Java with solid understanding of OOP and coding best practices.
  • Practical experience with Apache Spark for batch data processing.
  • Experience building and supporting ETL pipelines and data transformations.
  • Working knowledge of DBX for developing and running data workflows.

Technical requirements

Spark-Java, Databricks

Additional responsibilities

Preferred Qualifications:

  • Experience designing end-to-end data pipelines including ingestion, transformation, validation, and publishing layers.
  • Strong understanding of distributed processing concepts and Spark internals for performance tuning and stability.
  • Exposure to CI/CD practices for data/engineering workflows and disciplined release management.
  • Experience with production monitoring, alerting, and operational support for data pipelines.
  • Proven ability to collaborate with stakeholders, communicate trade-offs, and deliver within timelines.

Preferred skills

  • Technology › Java › Apache › Spark
  • Technology › Data Engineering › Databricks

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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