Data engineer

Technical Requirements: • Strong experience in Big Data Technologies • Hands-on expertise in: o Apache Spark o Scala o Hive o 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. 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. Preferred Skills: Technology->Data Engineering->Databricks,Technology->Big Data - Data Processing->PySpark,Technology->Big Data->Big Data - ALL,Technology->Functional Programming->Scala,Technology->OpenSystem->Python - OpenSystem->Python,Technology->Big Data - Hadoop->Hadoop->Hive,Technology->Java->Apache->Kafka