Data Engineering (Power Programmer)

Infosys; Hyderabad, Pune District, Bengaluru; Hybrid; INR 1,800,000 - 2,400,000; Full time

Job summary

Infosys, through its Strategic Technology Group, seeks passionate Data Engineering professionals with strong expertise in Big Data, distributed systems, and cloud-native architectures. The role focuses on building scalable data platforms, real-time processing systems, and high-performance pipelines while collaborating with top engineers on large-scale digital platforms for Fortune 500 clients.

As a Power Programmer, you will contribute to architecture, design, development, deployment, and

Qualifications

• 5-8 years of experience in Data Engineering and Big Data technologies.
• Strong expertise in Apache Spark, Scala, Kafka, and Hive.
• Experience building large-scale data processing systems and data pipelines.
• Strong understanding of distributed computing concepts.
• Experience with cloud platforms and cloud-native architectures.
• Knowledge of ETL/ELT frameworks and real-time streaming solutions.
• Good understanding of Agile development methodologies.
• Strong analytical and problem-solving skills.
• Excellent communication and collaboration skills.
• Passion for engineering excellence, innovation, and continuous learning.

Responsibilities

• Design scalable Data Engineering solutions using modern Big Data technologies.
• Build and maintain enterprise-scale data platforms and applications.
• Develop high-performance batch and real-time data processing frameworks.
• Build and optimize distributed data pipelines.
• Work on cloud-native and distributed system architectures.
• Participate in architecture, design, coding, testing, and deployment activities.
• Collaborate with architects, engineers, and business stakeholders.
• Follow Agile development methodologies and engineering best practices.
• Drive performance, scalability, and reliability improvements.
• Continuously learn emerging technologies and contribute to innovation initiatives

Skills

Apache Spark

Scala

Kafka

Hive

Distributed computing

Cloud platforms

ETL/ELT

Real-time streaming

Agile

Analytical skills

Communication

Collaboration

Continuous learning

Job description

Job Description:

Strategic Technology Group (STG) is one of Infosys' elite engineering units comprising highly skilled Power Programmers who work on complex engineering projects, large-scale digital platforms, and innovative solutions for Fortune 500 clients.

We are looking for passionate Data Engineering Professionals with strong expertise in Big Data technologies, distributed systems, and cloud-native architectures. The ideal candidate will work on building scalable data platforms, real-time data processing systems, and high-performance data pipelines while collaborating with top engineering talent across the organization.

As a Power Programmer, you will contribute to architecture, design, development, deployment, and innovation initiatives while solving complex business and engineering challenges.

Key Responsibilities:

• Design and develop scalable Data Engineering solutions using modern Big Data technologies.
• Build and maintain enterprise-scale data platforms and applications.
• Develop high-performance batch and real-time data processing frameworks.
• Build and optimize distributed data pipelines.
• Work on cloud-native and distributed system architectures.
• Participate in architecture, design, coding, testing, and deployment activities.
• Collaborate with architects, engineers, and business stakeholders.
• Follow Agile development methodologies and engineering best practices.
• Drive performance, scalability, and reliability improvements.
• Continuously learn emerging technologies and contribute to innovation initiatives

Preferred Candidate Profile:

• 5-8 years of experience in Data Engineering and Big Data technologies.
• Strong expertise in Apache Spark, Scala, Kafka, and Hive.
• Experience building large-scale data processing systems and data pipelines.
• Strong understanding of distributed computing concepts.
• Experience with cloud platforms and cloud-native architectures.
• Knowledge of ETL/ELT frameworks and real-time streaming solutions.
• Good understanding of Agile development methodologies.
• Strong analytical and problem-solving skills.
• Excellent communication and collaboration skills.
• Passion for engineering excellence, innovation, and continuous learning.