Data Engineer

📋 Description

• Build, optimize, and monitor reliable ETL/ELT pipelines using BigQuery, Dataflow, and Cloud
• Develop high-performance SQL scripts for complex transformations while maintaining data accuracy
• Contribute to the design and refinement of Star and Snowflake data models to support changing
• Identify and resolve pipeline and query performance bottlenecks, balancing execution speed with
• Translate business concepts and requirements into technical data specifications in collaboration
• Participate in peer code reviews and maintain clear technical documentation to support the

🎯 Requirements

• 3+ years of professional experience in data engineering, particularly with cloud-based data
• Strong hands-on experience with Google Cloud technologies, including BigQuery, Cloud Storage, and
• Expert-level SQL skills, including window functions, recursive CTEs, query-plan analysis, DDL, and
• Solid understanding of data warehouse design, partitioning, clustering, and data warehouse
• Strong attention to detail and a demonstrated commitment to data integrity and clean, maintainable
• Excellent written and verbal communication skills in English.

🎁 Benefits

• Salary: ₹1,575,000–₹2,205,000 INR annually, depending on experience, skills, knowledge, market
• Work arrangement: Full-time and fully remote from India.
• Working hours: 8 hours per day, excluding breaks.
• Schedule flexibility: 4 core US-overlap hours from 7:30 PM–11:30 PM IST, plus 4 flexible hours.
• Healthcare: Medical insurance and accident insurance.
• Financial wellbeing: Retiral benefits.