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Tier-1 brand, generalist Data Engineer role in Gurgaon with broad cloud and Snowflake requirements.
Core data engineering skills transfer well, but asset-management governance and domain knowledge increase specificity.
Requires Snowflake, cloud data platform, streaming and production-grade delivery, so moderate technical filters.
Design, build, and operate production-grade data pipelines, data models, and reusable components to support business applications, analytics, automation, and AI use cases.
Manage data ingestion, transformation, orchestration, data quality, metadata, lineage, access controls, monitoring, and operational support across batch, streaming, API-based, and event-driven patterns.
Collaborate closely with application teams, architects, data owners, platform teams, and business stakeholders to deliver secure, scalable, trusted, governed, and reusable enterprise data capabilities.
Senior-level data engineering expertise with strong production delivery discipline and code quality focus.
Hands-on experience with modern data engineering tools, including cloud data platforms like Snowflake or similar cloud data warehouse platforms.
Work Experience Required: Not explicitly mentioned in the JD.
English language proficiency required.
Experienced in strategic data platform design including data modelling, performance optimization, access controls, and cost-aware design on cloud warehouses like Snowflake.
Skilled in data integration, API design, workflow orchestration, batch and stream processing, event-driven patterns, and distributed systems fundamentals.
Able to deliver engineering excellence through testing strategies, observability, CI/CD, performance optimization, cost controls, and secure-by-design delivery in a collaborative, cross-functional environment.