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Tier-1 brand and Bangalore metro increase competition, but seniority and specialized streaming skills moderate applicant density.
Deep streaming, distributed systems, and data-platform expertise necessary makes cross-industry fit limited.
Explicit 8+ years requirement plus mandatory distributed-systems and streaming technology experience enforces strict shortlisting.
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Design, build, deploy and optimize high-performance, scalable data platform components supporting analytics and machine learning.
Collaborate with engineers, architects, and cross-functional teams on project development, design reviews, and performance tuning.
Own debugging production issues and mentoring engineers to scale the engineering organization.
8+ years experience in object-oriented programming, preferably Java.
Hands-on experience with cloud-based distributed computing technologies such as Kinesis, Kafka, Flink, Spark, Beam, Snowflake, Hadoop, and Kubernetes or similar schedulers.
Strong knowledge of multithreading, garbage collection, memory management, and software engineering principles.
Experience in reliability engineering including data quality, observability, and incident management.
Experienced in building and tuning highly scalable distributed systems in data-intensive environments.
Comfortable working with modern data platform stacks integrating streaming, storage, and compute technologies.
Proven capability to lead design and implementation of data infrastructure at scale and influence technical direction.