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Metro location and broad skillset increase applicant density despite seniority and specialized data engineering focus.
Core data engineering and cloud skills are highly transferable across industries.
Explicit 14-19 years requirement plus mandatory Scala, Spark, Hadoop, cloud and Kubernetes skills.
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Lead and mentor a software engineering team delivering critical data platform capabilities.
Drive execution, delivery accuracy, and establish engineering best practices and architecture.
Collaborate with Product Managers to build scalable and performant data platform solutions while improving CI/CD and operational processes.
14-19 years of experience in data engineering or related roles.
Proficiency in Scala, Python, Apache Spark, Hadoop (HDFS, YARN, MapReduce), SQL, and AWS; GCP exposure is a plus.
Experience with Docker, Kubernetes, CI/CD pipelines, distributed systems, and cloud-native architecture.
Location: Bengaluru (hybrid work mode). Work Experience Required: 14-19 years.
Demonstrated experience as an engineering leader managing delivery quality, reliability, and engineering metrics.
Skilled at mentoring and growing high-performing software engineering teams focused on data platforms.
Expertise in designing scalable, secure, and high-performance data-intensive systems in a product-based environment.