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Generic Data Engineer title, mid-level (4+) and Bengaluru location increase competition.
GCP, BigQuery and DBT data engineering skills are highly transferable across industries.
Explicit 4+ years plus mandatory GCP, BigQuery, DBT, Airflow and Python raises shortlisting strictness.
Design, develop, and operationalize scalable, robust data pipelines with automated data quality checks for business support.
Lead end-to-end development and production of data pipelines using GCP services (Dataflow, BigQuery, DataProc), Python, DBT, Apache Airflow, and ETL tools.
Optimize ETL and data processing workflows ensuring high availability, scalability, monitoring, and troubleshooting of data systems.
Minimum 4+ years in Data/ETL Engineering with at least 1 year experience as a Google Cloud Platform (GCP) developer.
Proven experience building and maintaining cloud-based scalable Data Warehouses, preferably on Google BigQuery.
Proficiency in SQL, Python, DBT, Apache Airflow, and version control with Git; familiarity with ETL tools like Talend, Fivetran.
Bachelor’s degree in Computer Science, MIS, CIS, or equivalent experience.
Experienced in end-to-end development and operational ownership of cloud data pipelines using GCP and associated tooling.
Strong knowledge of data modeling techniques and data governance relevant to Data Warehousing and Data Lake architectures.
Ability to independently design and optimize performance of complex ETL workflows and maintain high data quality in production environments.