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Tier-1 brand, mid-level data engineer title, and Mumbai metro drive high applicant competition.
Platform-specific Databricks/Snowflake and GenAI skills moderately limit cross-industry transferability.
Explicit 6+ years plus many mandatory platform and AI technology requirements make shortlisting highly strict.
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Lead design and implementation of AI-driven data engineering solutions including agentic AI workflows and GenAI-powered pipelines.
Develop and maintain Python and PySpark production-grade applications and REST APIs supporting AI, data, and automation use cases.
Manage and optimize analytics platforms (Databricks, Snowflake) and cloud-native ETL pipelines on AWS with strong DBA principles applied.
6+ years experience in Data Engineering or Analytics Engineering roles.
Strong hands-on experience with GenAI, LLMs, agentic AI, and multi-agent orchestration.
Advanced Python development skills including Flask or FastAPI, plus strong PySpark expertise.
Expert-level proficiency with Databricks and Snowflake, and deep knowledge of ETL architecture using AWS Glue and cloud-native pipelines.
Experienced technologist who can combine AI concepts with data engineering at scale across cloud platforms and analytics environments.
Capability to lead AI ideation and operationalize complex AI workflows with responsible AI governance and cost control.
Strong background in both software engineering and database administration to optimize performance and scalability in regulated or security-sensitive domains.