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Metro location, common data-engineer skillset, and known agency brand yield moderate applicant competition.
Core cloud data engineering skills are highly transferable across industries.
Explicit 7-10 years plus 4+ years GCP and specific platform skills create high shortlisting strictness.
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Lead design and development of scalable, cloud-native data platforms and pipelines on Google Cloud Platform supporting enterprise analytics, AI, and GenAI use cases.
Own engineering leadership by guiding multiple data engineering workstreams, mentoring teams, and ensuring high-quality delivery including CI/CD, observability, and operational readiness.
Drive modernization of legacy data ecosystems, implement semantic layers, data governance, and AI/ML integration to enable enterprise-wide data accessibility and reliability.
7+ years of experience in data engineering and cloud-native data platform development.
Minimum 4+ years of hands-on experience delivering enterprise-scale solutions specifically on Google Cloud Platform.
Bachelor's or Master's degree in Computer Science, Engineering, Information Systems, or related field.
Location requirement: Mumbai - Thane Ashar IT Park, India.
Experienced in building scalable batch and streaming data pipelines leveraging GCP-native services such as BigQuery, Dataflow, Pub/Sub, and Cloud Composer (Airflow).
Proven track record of leading engineering teams in large-scale data modernization and cloud transformation initiatives.
Strong knowledge of semantic data modeling, data governance, and AI/ML data enablement including GenAI integration with Vertex AI, BigQuery ML, and LangChain.