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Metro locations and general Data Engineer demand balanced by seniority and specialized GCP/data-platform skills.
Role favors GCP-native data platform experience, moderately limiting cross-industry transferability.
Mandatory 7-10 years plus specific GCP, BigQuery, DBT and pipeline expertise enforces strict filters.
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Lead design, development, and optimization of scalable cloud-native data platforms and pipelines on Google Cloud Platform (GCP) supporting enterprise analytics, AI, and GenAI use cases.
Drive engineering leadership by mentoring teams, enforcing best practices, and ensuring high-quality delivery across multiple data engineering workstreams.
Implement data governance, monitoring, and operational frameworks to ensure production readiness, reliability, and observability of enterprise data pipelines.
7+ years of experience in data engineering and cloud-native data platform development.
Minimum 4+ years of hands-on experience delivering enterprise-scale solutions on GCP.
Bachelor's or Master's degree in Computer Science, Engineering, Information Systems, or related field.
Location requirement: Mumbai - Thane Ashar IT Park, India.
Strong expertise in building scalable batch, streaming, and event-driven data pipelines using GCP services like BigQuery, Dataflow, Pub/Sub, Cloud Composer, and Dataproc.
Experience leading engineering teams and collaborating with enterprise architects, product owners, and cross-functional stakeholders across data modernization and AI/ML initiatives.
Skilled in semantic data modeling, data mesh principles, metadata management, and AI/ML data enablement including GenAI integration frameworks.