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About the role
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->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: Strong 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
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