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Mid-level Bangalore cloud/data role with common Spark/Python skills and a generalist title, moderate applicant competition.
Cloud and data engineering skills transfer across industries, though SaaS/product experience and data focus moderately bias fit.
Multiple explicit years requirements, mandatory Spark/Python and cloud architecture skills, plus Tier-1 degree preference increase strictness.
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Develop and test cloud-based backend applications emphasizing quality and cost-effectiveness to aid development teams' migration to cloud.
Create reusable platform code and components for use across multiple projects, applying modern design patterns and architectural principles.
Collaborate with product owners, tech leads, and cross-functional teams including Data Science to define technical requirements and integrate methodologies into engineering pipelines.
4-8 years software development experience with a bachelor's degree in computer science or engineering.
Strong expertise in cloud architecture, including storage, network, computing services, multi-zone and region-based designs.
5+ years of Data Engineering experience including minimum 4 years with Spark and Python.
Experience in SaaS or high-growth tech product companies; B.Tech from a Tier 1 college; proficiency in Python or Scala and strong SQL skills.
Experienced in building scalable, resilient cloud architectures with emphasis on cost optimization and security best practices.
Skilled at designing reusable code components and integrating data science methodologies into engineering workflows.
Capable of rapid learning and prototyping new technologies within a high-growth, tech-first product development environment.