Google Cloud Data Engineer

📋 Description

• Design, develop, and maintain end-to-end data platforms on Google Cloud, translating business
• Build, orchestrate, and optimize data pipelines for data ingestion, transformation, validation, and
• Develop complex SQL queries and Python-based processing solutions to support efficient data
• Design resilient data processing workflows that handle late-arriving records, duplicate entries
• Develop effective data models and architectures that maintain clarity, consistency, and performance
• Optimize data processing performance, resource utilization, and cloud infrastructure costs while

🎯 Requirements

• Between 3 and 10 years of experience in data engineering, with hands-on experience designing
• Strong proficiency in SQL, including complex queries, data transformations, performance tuning, and
• Advanced Python skills for developing data pipelines, implementing processing logic, automating
• Practical experience with Google Cloud Platform (GCP) services and tools used to build, deploy, and
• Solid understanding of data engineering fundamentals, including data ingestion, transformation
• Experience designing reliable data pipelines that account for late-arriving data, duplicate

🎁 Benefits

• Remote work: Work remotely from India, with the flexibility of a distributed working environment.
• Flexible engagement options: Opportunity to work on a contract or full-time basis, depending on the
• Competitive compensation: Compensation aligned with your experience, technical expertise, and
• Google Cloud collaboration: Contribute to projects referred through Google and work alongside
• Large-scale technical challenges: Work on complex data platforms and engineering initiatives across
• Professional growth: Expand your expertise in Google Cloud data engineering, scalable