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Tier-1 consulting brand, mid-level generalist data engineer in Bangalore increases candidate competition.
Role requires GCP and BigQuery expertise, making cross-industry transfer moderately constrained.
Explicit years, mandatory GCP experience and specific tooling (BigQuery, dbt, Airflow) enforce strict shortlisting.
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Design, build, and maintain scalable and secure data pipelines and platforms on Google Cloud Platform (GCP).
Implement data orchestration workflows using Apache Airflow/Cloud Composer and transformation logic using dbt to ensure high data quality.
Apply best practices in DataOps, data security, and collaborate effectively in agile teams while mentoring junior engineers.
4-8 years professional experience in data engineering or related fields with at least 3 years on GCP.
Bachelor's degree in Computer Science, Data Engineering, Information Systems, or related technical field.
Proficiency in Python, advanced SQL, Apache Airflow, and dbt for data pipeline development and transformation.
English oral and written proficiency required.
Experienced in architecting and operating cloud-native data platforms on GCP using tools like BigQuery, Dataflow, Cloud Storage, and containerized deployments.
Solid understanding of end-to-end data lifecycle management, data modeling (Star Schema, Data Vault), and DataOps practices including CI/CD and automated testing.
Skilled in mentoring juniors and collaborating within agile teams; able to translate complex business requirements into scalable technical solutions.