Responsibilities
- Design and implement connectors to extract ERP data while ensuring consistent availability.
- Develop and enhance backend APIs to support changing customer needs.
- Manage data storage solutions for ERP systems with a focus on efficiency and security.
- Translate business needs into effective technical designs and implementations.
- Maintain, update, and govern existing software services through iterative improvements.
- Work collaboratively with team members across the US, Singapore, and China, adapting to overlapping time zones.
- Build, tune, and support scalable data pipelines for both structured and unstructured data.
- Ensure data systems remain stable, reliable, and highly available through proactive maintenance.
- Design and evolve data architectures that are high-performing and capable of scaling.
- Provide robust, high-quality data services to internal teams and stakeholders.
- Design clear and usable data visualizations based on product and business needs.
- Lead the integration and ongoing support of data shared with external partners.
- Uphold strong standards in data governance, security, and regulatory compliance.
Benefits
- Full suite of benefits and perks
- Market-competitive compensation
- Paid vacation time
- Parental leave policy
- Regular team gatherings and events
- Reimbursement for learning and development
- Career progression based on measurable impact
- Opportunities to grow skills and expertise
- Work culture rooted in ownership, mutual respect, and trust
- Equal opportunity employment regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, marital status, disability, gender, gender identity, gender expression, or veteran status
Compensation
Competitive salary
Work Arrangement
Remote (Worldwide) — India
Team
Collaborative environment working hand-in-hand with teams in the US, Singapore, and China
Other
- This is a fully-remote opportunity based in India.
- Standard work hours are from 8 am to 5 pm IST.
- Work hand-in-glove with US/SG/China teams.
- Be flexible with work hours as the data world never sleeps.
Not applicable