Comapny:IT Services Organization
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.
Positive 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

📌 GCP Data Engineer_101753 (Bengaluru)
🏢 MyCareernet
📍 Bengaluru