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Spark Scala Developer

Date Posted: Jul 02, 2026

Job Detail

  • location_on
    Location Hyderabad, Telangana, 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 fast-paced data engineering team where you’ll build and optimize large-scale data processing solutions that power analytics and decision-making across the business. In this role, you’ll use Spark and Scala to design reliable, high-performance pipelines, collaborating closely with data engineers, analysts, and platform teams to deliver clean, trusted datasets. You’ll work on challenging problems like performance tuning, handling complex transformations, and ensuring data quality at scale—while contributing to a culture that values ownership, continuous improvement, and knowledge sharing. If you enjoy turning raw data into well-structured, production-ready assets and want to make a measurable impact through scalable engineering, this is a great opportunity to grow and lead through hands-on delivery.

Responsibilities

Data Engineering & Development

  • Design, develop, and maintain Spark-based batch processing pipelines using Scala for large datasets.
  • Implement efficient transformations, aggregations, and joins, ensuring correctness and scalability.
  • Write optimized SQL for data extraction, validation, and reconciliation across sources and targets.

Performance, Quality & Reliability

  • Tune Spark jobs (partitioning, caching, shuffles, memory/executor settings) to improve runtime and cost efficiency.
  • Build data quality checks and validations to ensure accuracy, completeness, and consistency of outputs.
  • Troubleshoot production issues, perform root-cause analysis, and implement preventive fixes.

Collaboration & Delivery

  • Work with stakeholders to understand data requirements and translate them into technical solutions.
  • Participate in code reviews, follow engineering best practices, and contribute to reusable components.
  • Document pipelines, logic, and operational runbooks for maintainability and onboarding.

Technical requirements

Technology->Big Data - Data Processing->Spark,Technology->Java->Apache->Scala

Additional responsibilities

  • Bachelor’s degree in Computer Science, Engineering, or a related field (or equivalent practical experience).
  • 5–9 years of overall experience with strong hands-on development in Spark and Scala.
  • Solid experience writing and optimizing SQL for analytics and data processing use cases.
  • Strong understanding of distributed processing concepts, data transformations, and performance considerations.
  • Ability to debug and resolve issues in data pipelines with a focus on reliability and quality.

Preferred skills

  • Technology › Big Data - Data Processing › Spark
  • Technology › Java › Apache › Scala

About the role

  • Role: Senior Consultant
  • Experience: 5 - 9 years
  • Education: Bachelor of Engineering

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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