Description

You will design, build, and optimize scalable data pipelines on Google Cloud Platform to support analytics and decision-making.

This role is on-site.

Responsibilities

• Design and implement scalable data pipelines using Google Cloud Platform services.
• Develop and maintain ETL processes to integrate data from multiple sources into BigQuery.
• Perform data modeling and schema design to support reporting and analytics requirements.
• Optimize SQL queries and conduct performance tuning for data processes.
• Monitor data quality and ensure integrity across all data platforms.

Required Skills

• 5+ years of experience in data engineering or a related role.
• Strong hands-on experience with Google Cloud Platform (GCP).
• Proficiency in BigQuery and Cloud Storage.
• Solid foundations in SQL and Python coding.
• Experience with ETL tools and techniques.
• Practical knowledge of data modeling and database design.
• Experience using Git and version control systems.
• Ability to implement data visualization solutions.
• Understanding of data privacy and security regulations.

Preferred Skills

• Knowledge of machine learning concepts.
• Experience working within Agile methodologies.

Key Skills

Education

Any Graduate