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Tier-1 firm, mid-level metro data engineer with broad GCP/dbt/Airflow requirements.
GCP/dbt/BigQuery data engineering skills are transferable but require cloud-specific experience.
Explicit 5–9 years requirement plus mandatory GCP, BigQuery, dbt and Airflow skills.
Design, build, and operate scalable, secure, analytics-ready data pipelines and models primarily on GCP BigQuery.
Develop batch and streaming data pipelines, Airflow-orchestrated workflows, and automation.
Maintain documentation and provide production support including incident resolution and testing during UAT and production phases.
5 to 9 years of relevant experience in data engineering or related roles.
Strong experience with GCP, specifically BigQuery.
Proficiency in data transformations, advanced SQL, Airflow workflows, and CI/CD with Infrastructure as Code.
Bachelor's degree in Engineering (B.Tech or BE). Location: Hyderabad required.
Experienced in designing and optimizing data pipelines with performance tuning expertise.
Skilled in using dbt for data transformation including models, tests, macros, incremental models, and SCD implementations.
Proficient in Python programming, data modeling (facts, dimensions, SCDs), and DevOps practices including Git and CI/CD tooling.