Data Engineer

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Data Engineer based in India.

As a Data Engineer, you will play a key role in building and maintaining the data infrastructure that powers business intelligence and reporting. You will design robust ETL/ELT pipelines and develop high-performance SQL solutions across complex datasets. Working closely with architects, analysts, data scientists, and actuaries, you will translate business requirements into scalable technical solutions. The role combines hands-on engineering with data quality, warehouse optimization, and cloud cost efficiency. You will work extensively with Google Cloud technologies while contributing to evolving data models and warehouse architecture. This is a full-time, fully remote opportunity with dedicated collaboration hours aligned to US-based teams.

Accountabilities:

• Build, optimize, and monitor reliable ETL/ELT pipelines using BigQuery, Dataflow, and Cloud Composer.
• Develop high-performance SQL scripts for complex transformations while maintaining data accuracy across multiple datasets.
• Contribute to the design and refinement of Star and Snowflake data models to support changing business requirements.
• Identify and resolve pipeline and query performance bottlenecks, balancing execution speed with cloud cost efficiency.
• Translate business concepts and requirements into technical data specifications in collaboration with analysts, data scientists, actuaries, and other stakeholders.
• Participate in peer code reviews and maintain clear technical documentation to support the long-term health of the data warehouse.
• Support both new development initiatives and troubleshooting of existing or legacy data pipelines.
• Apply strong data-quality practices to ensure reliable, consistent, and trustworthy business data.

Requirements:

• 3+ years of professional experience in data engineering, particularly with cloud-based data warehouses.
• Strong hands-on experience with Google Cloud technologies, including BigQuery, Cloud Storage, and IAM best practices.
• Expert-level SQL skills, including window functions, recursive CTEs, query-plan analysis, DDL, and complex data transformations.
• Solid understanding of data warehouse design, partitioning, clustering, and data warehouse lifecycle management.
• Strong attention to detail and a demonstrated commitment to data integrity and clean, maintainable code.
• Excellent written and verbal communication skills in English.
• Proven experience collaborating with US-based business teams.
• Strong teamwork and stakeholder collaboration skills, with the ability to contribute effectively to shared objectives.
• Adaptability and problem-solving skills, with the ability to balance new feature development and legacy-system troubleshooting.
• Ability to work independently in a remote environment while maintaining reliable communication and delivery.
• A quiet, dedicated workspace and reliable internet connection with a minimum speed of 50 Mbps.

Benefits:

• Salary: ₹1,575,000–₹2,205,000 INR annually, depending on experience, skills, knowledge, market alignment, and geographic location.
• 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.
• Paid time off: 12 company-paid holidays, 2 flexible holidays, privilege/earned leave, and casual/sick leave.
• Family support: Paid maternity and paternity leave.
• Wellness: Company-supported wellness programs and weekly wellness events.
• Work environment: An inclusive, collaborative remote culture with opportunities for ownership, professional development, and meaningful contributions.

• Experience: 3+ years
• Seniority: Mid Level
• Languages: English