Description

Key Skills: SQL, Bigquery, Google Cloud Platform, Data Engineering, Python, GCP, AWS, Airflow, Apache

Roles and Responsibilities:

• Design and develop scalable data pipelines on Google Cloud Platform for batch and streaming workloads.
• Build and optimize data processing workflows using BigQuery, Pub/Sub, and Dataflow.
• Develop Python and SQL-based transformations for data ingestion, cleansing, and modeling.
• Support integration of source systems into cloud data platforms with reliable data movement and validation.
• Collaborate on data architecture decisions to improve reliability, scalability, and query efficiency.

Skills Required:

• 6-15 years of relevant experience in data engineering or cloud data platform development.
• Strong hands-on experience with GCP services, especially BigQuery, Pub/Sub, and Dataflow.
• Solid programming and query skills in Python and SQL for data engineering workloads.
• Experience designing cloud data pipelines and working with large-scale datasets.
• Ability to build and support production data workflows in a cloud environment.

Good to Have:

• Apache Beam
• Cloud Storage
• Airflow

Education: Bachelor's degree in Computer Science or related field; Master's degree preferred

Key Skills

Education

Any Graduate