Infosys
Data engineer
Bangalore, India
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- Role family
- Data & ML
- Seniority
- Mid level
- Country
- IN
- Work mode
- On-site / unstated
- First seen by hirly
- 27 Sept 2026
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the posting
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
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