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Mid-level data engineer in Chennai with common BigQuery/dbt skills yields moderate competition.
GCP BigQuery/dbt expertise makes fit moderately transferable across industries with platform-focused bias.
Explicit 6–8 years and mandatory BigQuery/dbt plus data modelling increase filtering strictness.
Lead design, development, and governance of scalable data platforms on Google Cloud Platform (BigQuery) with end-to-end ownership.
Architect and implement a multi-layered data warehouse following medallion-style layering and define data models ensuring a single source of truth.
Engage with stakeholders to define requirements, drive modernization of legacy data assets, and mentor junior team members while enforcing data security and quality standards.
6 to 8 years of experience in data engineering or related roles.
Strong expertise in Google Cloud Platform, specifically BigQuery and data warehousing.
Experience with data modeling, ETL/ELT development, and implementation of modular transformation pipelines (e.g., using dbt).
Location requirement: Chennai, Tamil Nadu, India.
Experienced in managing complex multi-layer data warehouse architectures with hands-on expertise in GCP BigQuery.
Proven ability to engage business stakeholders, lead workshops, and translate requirements into technical data architectures.
Skilled mentor capable of reviewing and elevating junior data engineers' technical output and promoting best practices in data platform governance.