This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Software Engineer (Data Systems/ETL) based in India.
This is a mid-level software engineering opportunity focused on the reliability, performance, and daily operation of critical data systems and billing workflows. You will work extensively with high-volume datasets, cloud data warehouses, SQL, Python, and end-to-end ETL pipelines. The role offers meaningful ownership of data processing systems while also providing opportunities to contribute to broader cloud and platform engineering initiatives. You will troubleshoot complex processing issues, optimize data workflows, and help ensure reliable delivery of business-critical information. Beyond data engineering, you will contribute to APIs, cloud security, containerized services, and modern development practices. Working remotely with distributed teams across time zones, you will have the opportunity to make a direct impact in a team-oriented and technically diverse environment.
n

Accountabilities:




Monitor and support the daily operation of the billing engine, proactively identifying, investigating, and resolving data and processing issues.
Develop, review, and optimize SQL queries and data-processing workflows operating on high-volume datasets, including environments processing tens of millions of records per day.
Maintain and enhance end-to-end ETL pipelines, covering data validation, transformation, processing, and loading stages.
Identify bottlenecks and implement performance improvements across data-processing jobs and pipeline components.
Develop and maintain Python code supporting ETL workflows, data processing, automation, and related engineering activities.
Document data flows, processing logic, operational procedures, and known issues to improve team continuity and knowledge sharing.
Support the organization and maintenance of GraphQL interfaces and other platform-level APIs.
Co

📌 Software Engineer (India)
🏢 Jobgether
📍 India