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Data engineer
Infosys · Bangalore, India
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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. 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. 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 Education MCA,MSc,MTech,Bachelor of Engineering,BTech