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Job Description
Structured overview of role & requirementsAbout This Role
Design, develop, deploy, and operate scalable cloud-based data platforms and analytics products for enterprise-wide decision-making.
Own end-to-end production reliability and performance optimization of large-scale Spark pipelines processing multi-terabyte datasets.
Collaborate cross-functionally to build AI-ready, governed data products and contribute to platform innovation and engineering best practices.
Minimum Requirements
Bachelor’s or Master’s degree in Computer Science, Engineering, or related field.
5+ years of relevant experience in data engineering or similar roles.
Proficiency in Spark optimization, Python/PySpark and/or Scala, SQL, and cloud data platform development.
Work Location: Bangalore, Hybrid working style (office + remote) with shift timing 12:30 PM to 9:30 PM.
Ideal Candidate Profile
Experienced in designing and evolving scalable data lakehouse architectures and reliable, idempotent data pipelines.
Skilled in data governance frameworks including Unity Catalog, and implementation of data security controls such as PII tagging and row/column-level access.
Familiar with AI-assisted development tools to enhance productivity across the software development lifecycle, and able to mentor peers on best practices and architecture.