Company Name

Infosys Ltd ( Bangalore )

Job Description

• Key Responsibilities:

  Big Data Development & Analytics:

  • Design and develop scalable big data solutions using Python and PySpark
  • Build distributed data processing applications on Apache Spark framework
  • Implement ETL/ELT pipelines for large-scale data transformation and processing
  • Develop real-time and batch data processing systems

  Project Lifecycle Support:

  • Actively support consulting teams across all project phases including problem definition, effort estimation, diagnosis, solution generation, design, and deployment
  • Participate in data architecture design and technical solution planning
  • Collaborate with cross-functional teams to deliver comprehensive data solutions

  Research & Solution Development:

  • Explore alternative data processing solutions through comprehensive research including literature surveys, public domain information analysis, and vendor evaluations
  • Build Proof of Concepts (POCs) for big data technologies and frameworks
  • Evaluate and recommend data processing tools and methodologies

  Requirements Analysis & Design:

  • Create technical requirement specifications from business needs
  • Define data processing workflows and detailed technical designs based on functional requirements
  • Design data models and schemas for optimal performance and scalability

  Issue Resolution & Optimization:

  • Configure solution requirements on various big data platforms and products
  • Diagnose root causes of performance issues and data processing bottlenecks
  • Identify and implement solution alternatives for complex data challenges
  • Optimize Spark jobs for better performance and resource utilization

  Quality & Innovation:

  • Contribute to unit-level and organizational data engineering initiatives
  • Provide high-quality, value-adding data solutions to customers
  • Support clients in their digital transformation journey through advanced analytics and big data capabilities

  Mandatory Technical Skills:

  Core Technologies:

  • Python - Strong proficiency in Python programming for data processing and analysis
  • PySpark - Extensive experience with PySpark for distributed data processing and Apache Spark ecosystem

Job Details

Education Summary

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