Senior Technologist Data Engineering

Role & 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.

Required Skills

• Strong experience in Big Data Technologies
• Hands-on expertise in:
• Apache Spark
• Scala
• Hive
• 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.