Description

Key Skills:Airflow, GCP, Bigquery, Data Engineer, DBT, SQL, Python

Roles and Responsibilities:

• Design and implement data pipelines on GCP, leveraging BigQuery for storage, querying, and analytics workloads.
• Build and maintain dbt models for data transformations, ensuring correctness, reusability, and maintainable project structure.
• Orchestrate end-to-end workflows using Apache Airflow, including scheduling, dependency management, and failure handling.
• Develop and optimize SQL-based transformations and analytics-ready datasets in BigQuery with attention to performance and cost.
• Implement data quality checks and monitoring patterns to ensure pipeline reliability and timely issue detection.

Skills Required:

• 5-10 years of relevant experience in data engineering and analytics pipelines
• Google Cloud Platform (GCP) for building and operating cloud data pipelines.
• BigQuery for analytics data modeling, querying, and performance optimization.
• dbt (data build tool) for transformation workflows and version-controlled data modeling.
• Apache Airflow for orchestration, scheduling, and operational reliability of data pipelines.

Good to Have:

• Python for pipeline utilities, automation, and data processing support.
• SQL for writing and optimizing queries and transformations.

Education:

• Bachelor's Degree in Computer Science or related field
• Master's Degree in Computer Science or related field

Key Skills

Education

Any Graduate