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:

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Build, optimize, and monitor reliable ETL/ELT pipelines using BigQuery, Dataflow, and Cloud Composer.

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Develop high-performance SQL scripts for complex transformations while maintaining data accuracy across multiple datasets.

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Contribute to the design and refinement of Star and Snowflake data models to support changing business requirements.

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Identify and resolve pipeline and query performance bottlenecks, balancing execution speed with cloud cost efficiency.

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Translate business concepts and requirements into technical data specifications in collaboration with analysts, data scientists, actuaries, and other stakeholders.

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Participate in peer code reviews and maintain clear technical documentation to support the long-term health of the data warehouse.

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Support both new development initiatives and troubleshooting of existing or legacy data pipelines.

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Apply robust data-quality practices to ensure reliable, consistent, and trustworthy business data.

Requirements:

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3+ years of professional experience in data engineering, particularly wit

📌 Data Engineer (India)
🏢 Jobgether
📍 India