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Tier-1 brand and Bangalore metro increase competition despite senior, specialized data-platform focus.
Core distributed data platform skills transfer across industries, though high-scale event experience increases domain specificity.
Explicit 10+ years plus mandatory distributed data platform and cloud technology expertise enforces high shortlisting strictness.
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Design and implement scalable, distributed data systems handling 10B+ events per day for Adobe Advertising's core platforms.
Own technical design and development of key components within the AdCloud data platform to ensure performance, scalability, reliability, and cost efficiency.
Collaborate with cross-functional teams to deliver robust data infrastructure supporting real-time and batch processing, data-driven decision making, and AI-powered capabilities.
10+ years of experience designing and developing large-scale data-driven systems.
Strong expertise with distributed data processing frameworks such as Apache Spark, Kafka, Hadoop ecosystem.
Proficiency in Java, Scala, or similar programming languages with solid understanding of data structures, algorithms, and system design.
Experience building scalable systems on cloud platforms (AWS, GCP, or Azure).
Senior-level engineer comfortable owning end-to-end design and implementation of large-scale, high-throughput data platforms.
Proven track record working with complex, event-driven systems with strong focus on system robustness, performance optimization, and cost efficiency.
Experience collaborating across product, engineering, and data science teams to deliver integrated solutions in data platform environments.