Description

You will architect and build scalable ETL solutions using Google Cloud as the core platform.

Responsibilities

• Design and implement scalable ETL architectures for data warehousing and analytics.
• Define data integration strategies, data quality standards, and metadata management.
• Lead the development of ETL pipelines and workflows using orchestration tools.
• Optimize performance of ETL jobs and complex SQL queries for large data volumes.
• Collaborate with engineering and business teams to define data requirements.

Required Skills

• 5+ years of experience in ETL/ELT development and data pipeline management.
• Strong hands-on experience with Google Cloud Platform.
• Proficiency in SQL, Python, and Shell scripting.
• Experience with ETL tools: Informatica, Talend, DataStage.
• Experience with Apache technologies (e.g., Apache Beam, Cloud Composer/Airflow).
• Familiarity with data warehousing and data modeling principles.
• Experience working with DBAs.

Key Skills

Education

Any Gradute