Data engineer

• 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.

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