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Monday, June 1, 2026

πŸš€ Python & PySpark Developer Hiring | Infosys Limited

🏒 Company: Infosys Limited
Data & Analytics Unit Hiring
πŸ“ Location: Hyderabad, Telangana πŸ’Ό Job Type: Full-Time πŸ’° Salary: As per Infosys Standards 🎯 Role: Python & PySpark Developer πŸ•’ Experience: 2–9 Years πŸŽ“ Qualification: BCA, BSc, BTech, BE, MCA, MSc, MTech 🏭 Department: Data & Analytics Unit

πŸ“„ Job Description

Infosys is hiring Python & PySpark Developers for its Data & Analytics Unit in Hyderabad. This role offers an opportunity to work on large-scale data processing, analytics solutions, digital transformation projects, and enterprise-grade applications for global clients.

As an Infoscion, you will collaborate with consulting and technology teams to analyze business requirements, design innovative solutions, develop data processing pipelines, and deliver high-quality business outcomes through advanced analytics and big data technologies.

πŸ›  Key Responsibilities

  • Analyze customer requirements and design data-driven solutions
  • Develop and maintain PySpark-based data processing pipelines
  • Build scalable applications using Python technologies
  • Participate in solution design, architecture, and deployment activities
  • Conduct Proof of Concept (POC) and technology workshops
  • Prepare effort estimates and technical documentation
  • Support conference room pilots and product demonstrations
  • Resolve technical issues related to solution implementation
  • Lead small projects and contribute to organizational initiatives
  • Collaborate with clients and stakeholders to ensure successful delivery

πŸŽ“ Eligibility Criteria

  • BCA, BSc, BTech, BE, MCA, MSc, or MTech from a recognized institution
  • 2–9 years of experience in Python and PySpark development
  • Experience in Big Data and Data Engineering projects
  • Strong analytical and problem-solving abilities
  • Experience working with enterprise applications and client-facing projects
  • Good communication and stakeholder management skills
  • Understanding of software development lifecycle and project delivery models
  • Ability to work in collaborative and agile environments

⭐ Mandatory Skills

  • Python
  • PySpark
  • Big Data Processing
  • Data Engineering
  • ETL Development
  • Data Analytics
  • Data Transformation
  • Solution Design
  • Client Consulting
  • Project Delivery

πŸ’° Benefits

  • Work on large-scale global digital transformation projects
  • Exposure to advanced data engineering and analytics technologies
  • Collaborate with global clients and industry experts
  • Learning and certification opportunities through Infosys platforms
  • Strong career progression in Data Engineering and Analytics domains

⭐ Why Join Infosys?

  • Work with one of India's leading IT and consulting organizations
  • Gain exposure to enterprise-scale data platforms and cloud ecosystems
  • Contribute to high-impact digital transformation initiatives
  • Develop expertise in modern data engineering technologies
  • Access continuous learning and global career opportunities

🧠 Core Skills Required

  • Python Development: Strong coding, debugging, and application development capabilities.
  • PySpark Expertise: Building scalable distributed data processing solutions.
  • Big Data Engineering: Handling large datasets efficiently across enterprise environments.
  • Data Transformation: Designing ETL pipelines and data integration workflows.
  • Problem Solving: Ability to identify business challenges and provide technical solutions.
  • Client Interaction: Gathering requirements and presenting technical solutions effectively.
  • Project Management: Contributing to project planning and delivery execution.
  • Innovation Mindset: Leveraging modern technologies to create business value.

🎀 How to Prepare for the Interview

  • Revise Python fundamentals including OOP, collections, and exception handling.
  • Practice PySpark transformations, actions, DataFrames, and Spark SQL concepts.
  • Prepare ETL and Big Data project examples from previous experience.
  • Review distributed computing, partitioning, and optimization techniques.
  • Understand Data Engineering architecture and data pipeline design.
  • Practice SQL and data analysis concepts.
  • Prepare for client-facing and scenario-based consulting questions.

πŸ“© How to Apply

Interested candidates can apply directly through Infosys Careers.