Description

You will design, build, and maintain scalable data pipelines and ETL workflows using Google Cloud Platform.

This role is hybrid.

Responsibilities

• Develop and optimize data processing workflows using BigQuery and Dataflow.
• Orchestrate complex data pipelines with Apache Airflow.
• Manage structured and unstructured data within Data Lake architectures.
• Perform data transformation, validation, and optimization to ensure quality and reliability.
• Collaborate with cross-functional teams to support analytics and business requirements.

Required Skills

• 10+ years of experience in data engineering.
• Strong hands-on expertise with Google Cloud Platform (GCP).
• Proficiency in Python for data processing and pipeline development.
• Deep knowledge of BigQuery and Dataflow for scalable analytics.
• Experience with Apache Airflow for workflow orchestration.
• Solid understanding of SQL Server and Hadoop ecosystems.
• Proven track record with Data Lake architectures.

Key Skills

Education

Any Graduate