Senior technologist

Infosys; Bengaluru; On-site; INR 900,000 - 1,300,000; Full time

Job summary

Infosys in Bengaluru seeks a data engineering professional to design, develop, and deploy scalable data platforms and marketplaces using modern big data technologies. You will build high‑performance data pipelines, work on cloud-native architectures, and participate in Agile development.

Collaborate with architects and cross‑functional teams, contribute to enterprise solutions, and continuously learn new tools while engaging with open‑source communities.

Qualifications

• Bachelor’s degree in engineering or computer science or related field.
• Experience with big data technologies and distributed processing.
• Proficiency in Python/Scala/PySpark is preferred.

Responsibilities

• Design, develop, and implement scalable data engineering solutions using modern Big Data technologies.
• Build and maintain large-scale digital platforms and data-driven applications.
• Work on cloud-native architectures and distributed systems.
• Collaborate with cross-functional teams and architects to deliver innovative solutions.
• Participate in end-to-end software development lifecycle activities in Agile environments.
• Develop high-performance data pipelines and data processing frameworks.
• Contribute to architecture, design, coding, testing, and deployment of enterprise solutions.
• Co-create new products and accelerators for clients.
• Engage with technology communities and open-source initiatives.
• Continuously learn and upskill on emerging technologies and industry trends.

Skills

PySpark

Scala

Python

Big Data

Education

Bachelor of Engineering

BTech

MCA

MTech

MSc

Tools

Spark

Hadoop

Cloud architectures

Job description

Educational Requirements

Bachelor of Engineering, BTech, MCA, MTech, MSc

Service Line

Strategic Technology Group

Responsibilities

• Design, develop, and implement scalable data engineering solutions using modern Big Data technologies.
• Build and maintain large-scale digital platforms, marketplaces, and data-driven applications.
• Work on complex engineering projects utilizing cloud-native architectures and distributed systems.
• Collaborate with cross-functional teams, architects, and fellow Power Programmers to deliver innovative solutions.
• Participate in end-to-end software development lifecycle activities in Agile environments.
• Develop high-performance data pipelines and data processing frameworks.
• Contribute to the architecture, design, coding, testing, and deployment of enterprise solutions.
• Co-create new products, platforms, and technology accelerators for clients.
• Engage with technology communities, open-source initiatives, and user groups.
• Continuously learn and upskill on emerging technologies and industry trends.

Additional Responsibilities

• Technology-Big Data-Big Data - ALL
• Technology-Big Data - Data Processing-PySpark
• Technology-Functional Programming-Scala
• Technology-OpenSystem-Python - OpenSystem-Python

Preferred Skills

• Technology->Big Data->Big Data - ALL
• Technology->OpenSystem->Python - OpenSystem->Python
• Technology->Functional Programming->Scala
• Technology->Big Data - Data Processing->PySpark