Description

You will design and build data integration solutions using Google Cloud Platform services.

Responsibilities

• Design and optimize ETL pipelines using Dataflow, BigQuery, Pub/Sub, and Cloud Composer.
• Handle high-volume structured and unstructured data via batch, streaming, and API workflows.
• Ensure data quality, integrity, and security across the entire ETL lifecycle.
• Collaborate with teams to translate business needs into efficient data architectures.
• Automate, monitor, and document ETL processes integrated with CI/CD via Git.

Required Skills

• 12+ years in ETL development.
• Expert proficiency in SQL and Python.
• Deep experience with Google Cloud Platform services.
• Expertise in data modeling, DML, and query optimization.
• Experience with Apache Beam and streaming/event-driven architectures.
• Proven experience in ETL Development and Cloud Data Warehousing.
• Strong understanding of orchestration tools like Airflow/Composer.

Preferred Skills

• Specific expertise in Google Cloud Platform BigQuery.
• Familiarity with modern data frameworks.

Key Skills

Education

Bachelor's/Master's