Educational RequirementsBachelor of Engineering,BTech,MCA,MTech,MSc Service Line Strategic Technology GroupResponsibilities
Design, develop, and implement scalable data engineering solutions using contemporary 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 current 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->Big Data - Hadoop-Hadoop-Hive
Technology-Data Engineering-Databricks
Technology-Functional Programming-Scala
Technology-Java-Apache-Kafka
Technology-OpenSystem-Python - OpenSystem-Python

Technical and Professional Requirements:
Robust experience in Big Data Technologies
Hands-on expertise in: Apache Sparko Scalao Hiveo Kafka
Strong understanding of distributed data processing and data pipeline development.
Experience working with cloud platforms and cloud-native architectures.
Proficiency in software engineering best practices, design patterns, and Agile methodologies.
Strong problem-solving and analytical skills.

Preferred Skills:
Technology->Big Data->Big Data - ALL
Technology->Big Data - Hadoop->Hadoop->Hive
Technology->Java->Apache->Kafka
Technology->OpenSystem->Python - OpenSystem->Python
Technology->Functional Programming->Scala
Technology->Data Engineering->Databricks
Technology->Big Data - Data Processing->PySpark

📌 Data Engineer Karnataka (India)
🏢 Infosys
📍 India