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Mid-level Bangalore Data Engineer role with common GCP/BigQuery skills increases competition.
Data engineering skills are broadly transferable, though SaaS/logistics experience is preferred.
Explicit 3+ years and mandatory GCP, BigQuery, Airflow, DBT skills raise shortlisting strictness.
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Build, maintain, and optimize scalable data pipelines using Cloud Composer (Airflow), Pub/Sub, and Cloud Functions within GCP.
Manage and optimize BigQuery data warehouse including data transformations and modeling using Dataform (DBT).
Develop infrastructure for data services/APIs and support AI-driven insights and machine learning workflows in the data platform.
3+ years of experience as a Data Engineer or similar role, ideally in SaaS, logistics, or e-commerce.
Proficiency in SQL and extensive experience with Google Cloud Platform services: BigQuery, Cloud Composer (Airflow), Dataform (DBT), Pub/Sub, and Cloud Functions.
Hands-on experience in building data pipelines/ETL processes and data services/API infrastructure.
Onsite role requiring 5 days per week in Bangalore office; follows UK working hours.
Experienced in operating in a SaaS, logistics, or e-commerce environment with data engineering focus.
Strong engineer who can collaborate effectively with analysts, data scientists, and cross-functional teams to deliver data-driven solutions.
Interested in leveraging AI and emerging technologies for building insights layers and automation on large data platforms.