Data Engineer

Data engineer

• 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. 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 • 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.