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.
This is an opportunity to build and own the data infrastructure that powers critical business decisions, reporting, operations, internal tools, and AI initiatives. You’ll take complex business needs and turn them into reliable, scalable data products from source systems through production. The role combines hands-on engineering with end-to-end ownership of pipelines, data quality, and production operations. You’ll work across Python, SQL, Airflow, dbt, APIs, and contemporary cloud data infrastructure. You’ll collaborate closely with Finance, Operations, Growth, and Technology teams in a fast-moving environment where priorities evolve quickly. Success means creating trusted systems that are resilient, well-documented, and increasingly efficient through thoughtful use of AI-powered development tools.
n

Accountabilities
Design, build, and own custom data pipelines that integrate source systems with the data warehouse,



including complex or poorly documented APIs.
Develop and operate Airflow DAGs for scheduled and event-driven workflows, ensuring reliable and scalable data processing.
Build dbt models and governed semantic layers that provide trusted data for analysts, internal applications, and AI tools.
Create reusable patterns for incremental synchronization, retries, replay, backfills, and event processing to improve engineering efficiency.
Implement monitoring, data-quality checks, reconciliation, alerting, and logging to identify issues before they affect reporting or downstream systems.
Diagnose and resolve production incidents involving missing, delayed, duplicated, or inaccurate data, taking ownership through resolution.
Partner with Finance, Operations, Growth, and Technology stakeholders to translate ambiguous business needs into durable data solutions.
Use AI coding agents to accelerate implementation, tes

📌 Data Engineer (India)
🏢 Jobgether
📍 India