Easyship

Design, build, and maintain scalable data pipelines on GCP using Cloud Composer (Airflow), Pub/Sub, and Cloud Functions. Optimize and manage the BigQuery data warehouse, ensuring data integrity, performance, and cost efficiency. Develop complex data transformations and modeling with Dataform (DBT) to support analytics and reporting. Create and maintain data services and APIs for internal and external consumption, enabling rapid product development. Implement monitoring, alerting, and data quality frameworks to ensure reliable, production‑grade pipelines.

B.Tech/M.Tech in Computer Science, Engineering or related field, 2018‑2022 passout. 2+ years of hands‑on experience building ETL pipelines on Google Cloud Platform. Proficiency in SQL and Python for data manipulation and automation. Strong knowledge of BigQuery, Cloud Composer (Airflow), Pub/Sub, and Cloud Functions. Experience with data modeling and transformation tools such as DBT/Dataform.

Exposure to AI/ML model deployment or AI‑augmented data pipelines. Familiarity with container orchestration (Kubernetes) and CI/CD for data workflows. Experience with data visualization tools like Looker or Tableau.