Software Engineer (Data Systems/ETL)

Team: IT

Location: India

Commitment: Full-time

Workplace Type: remote

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.
• Contribute to the implementation and maintenance of security safeguards across cloud environments.
• Support and troubleshoot applications and services operating within container orchestration environments and other cloud-based infrastructure.
• Participate actively in code reviews while following established software engineering, data-handling, testing, and version-control standards.
• Collaborate with onshore and offshore colleagues across multiple time zones and participate regularly in team standups and other team activities.

Requirements:

• Bachelor’s degree in Computer Science, Engineering, a related discipline, or equivalent practical experience.
• 5–7+ years of professional software development experience, ideally with exposure to both front-end and back-end engineering.
• Professional experience with AWS Redshift or a comparable high-volume cloud data warehouse and ETL environment.
• Strong SQL skills and practical experience working with large-scale datasets and data-processing workflows.
• Working proficiency in Python, particularly for data processing, automation, or ETL development.
• Experience with at least one major public cloud platform, such as AWS, Azure, or GCP.
• Solid understanding of software engineering fundamentals, including data structures, APIs, testing, version control, and maintainable code practices.
• Ability to work independently on assigned features and technical problems while collaborating effectively within a distributed team.
• Comfort incorporating AI-assisted coding tools into everyday development workflows.
• Strong written and verbal English communication skills for effective collaboration across teams and time zones.
• Critical-thinking and problem-solving abilities, with a structured and analytical approach to technical challenges.
• Good to have: experience with GraphQL or modern API technologies, cloud security or compliance features, multiple cloud platforms, customer-facing products or portals, and agentic AI coding pipelines.

Benefits:

• Fully remote working arrangement within India.
• Monday to Friday working schedule, from 2:00 PM to 11:30 PM IST.
• 30 days of total leave per calendar year.
• Annual public holidays as applicable.
• Mediclaim/health insurance coverage.
• Lifestyle Rewards Program.
• Group Term Life Insurance.
• Gratuity benefits.
• Additional employee benefits and perks.
• Opportunity to work on high-volume data systems and business-critical technology.
• Exposure to cloud platforms, modern APIs, containerized services, AI-assisted development, and data engineering technologies.
• Collaborative environment with distributed teams and opportunities for professional growth.