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Generic mid-level SE title, Bangalore metro and hybrid role create high applicant competition.
Data platform engineering skills (Java, cloud, big data) are moderately transferable across industries.
Explicit 2–3 years plus mandatory Java, cloud, Linux, and API experience enforces medium strictness.
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Develop and maintain a unified data platform enabling data ingestion, processing, cataloguing, and analysis for Data Scientists and Analysts.
Ensure platform scalability, data governance, and compliance with data security measures to protect sensitive information and maintain customer trust.
Collaborate with product and stakeholders to adapt the platform for business growth and evolving programmatic trends.
Bachelor's or Master's degree in Engineering.
2-3 years development experience with Object Oriented Languages such as Java, Kotlin, or C++.
Experience working in Linux/Unix environments and building multi-tier web applications with REST APIs.
Experience with cloud environments such as AWS, Google Cloud, or Azure.
Strong coding skills with good understanding of Object Oriented concepts, design patterns, algorithms, and data structures.
Experience or knowledge of microservices architecture, event-based programming, and scalable service architecture.
Familiarity with Big Data technologies like Hadoop, HDFS, Spark, and Hive is a plus.