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Scala Developer

Infosys Limited

๐ŸŸข Active ยท Posted 2/7/2026  ยท  ๐Ÿ‘ 6 views  ยท  ๐Ÿ‘ฅ 0 applied

โœ… Verified
๐Ÿ“ LocationBangalore
๐Ÿ’ผ Job TypeFull-Time
โฑ Experience2 - 5 Years
๐ŸŽ“ QualificationBachelor of Engineering, BCom, BBA
๐Ÿ’ฐ SalaryCompetitive
๐Ÿ›  Skills Functional Programming, Scala, Apache Spark, Akka, Reactive Programming, Big Data Processing, Technology Consulting, Project Estimation, Risk Management, Change Management, Agile Methodologies, SDLC

Job Description

Infosys Limited is seeking a highly skilled and analytical Scala Developer to join our premier Data & Analytics Unit in Bangalore. This technology consulting and big data engineering role focuses on building highly reactive systems, orchestrating large-scale distributed data processing pipelines, and delivering transformative digital architectures using Scala, Spark, and Akka.

Key Responsibilities & Scope of Work

  • Solution Design & Architecture: Lead customer engagement strategies by providing top-tier technology consulting, covering initial enterprise problem definition, technical platform diagnosis, solution architecture, and production environment deployment.
  • Big Data & Reactive Engineering: Write high-performance, clean code using Scala functional programming principles, building scalable and concurrent systems backed by the Akka reactive framework.
  • Distributed Data Pipeline Ingestion: Design and scale automated ETL/ELT pipelines using Apache Spark to ingest, process, validate, and clean massive structured and unstructured datasets.
  • Proposal Review & Risk Mitigation: Evaluate complex client technical proposals, review developer design models, and identify architectural vulnerabilities or software deployment bottlenecks ahead of delivery timelines.
  • Change & Project Governance: Architect change management strategies to guide enterprise clients through legacy transitions, while navigating project financials, resource sizing, and standard pricing models.
  • Team Collaboration & Mentorship: Train engineering squads in modern programming techniques, foster knowledge management initiatives, and provide constructive performance feedback to boost overall delivery efficiency.

Required Qualifications & Technical Stack

  • Professional Experience: 2 to 5 years of solid hands-on data engineering track record specializing in big data analytics platforms and reactive architectures.
  • Core Technical Stack: Mandatory expertise in functional programming with Scala, Apache Spark data processing mechanisms, and Akka frameworks.
  • Methodologies & Domain Acumen: Strong logical thinking skills, full fluency across the SDLC and Agile scrum structures, multi-industry domain knowledge, and reliable client-interfacing communication skills.

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