• Implement software to perform data processing operations efficiently on large data sets as part of an overall data processing engine. • Work closely with technical leads and other individual developers to develop this software and ensure data is processed accurately, efficiently, and reliably as part of the overall analytics engine. • Investigate and address issues in the software and develop necessary enhancements in an ongoing manner. • Working with cross-functional teams to deliver new algorithms and techniques in the core Datapelago GPU-powered, parallel and distributed execution engine • Developing enterprise-grade, highly reliable code and owning the end-to-end delivery of solutions ensuring smooth production rollouts • Designing, implementing, testing, and maintaining enhancements in different components of our engine. • Developing highly modular components and ensuring clean integration with the entire stack • Define algorithms, mechanisms, procedures, and policies for the required functionality. Document them, and secure review and approval from the technical lead(s) • Continuously analyzing and identifying areas for differentiation and improvements in the execution engine • Identifying bottlenecks in scaling and performance and implementing solutions • Investigate and resolve all bugs before and after the release of the software • Support troubleshooting and resolution of issues, incidents, and problems, working in collaboration with others as needed. • Document findings, resolutions, and identify required enhancements to avoid recurrence • Collaborating with other teams and team members and assisting with code reviews, design reviews, and development process improvements