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Inari Medical

Senior Data Engineer

Posted 6 Days Ago
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In-Office
Gurugram, Haryana
Senior level
In-Office
Gurugram, Haryana
Senior level
Design, build, and optimize ETL/ELT data pipelines and curated lake/warehouse models for procurement. Partner with stakeholders to translate requirements, deliver dashboards, maintain data quality, APIs and automation, and collaborate on design, reviews, and platform improvements.
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Work Flexibility: Hybrid

What you will do:
  • Partner with business stakeholders to understand reporting and analytics requirements; translate them into clear user stories, data requirements, and technical tasks.

  • Contribute to user-friendly reporting and dashboard experiences by applying standard UI/UX practices and incorporating end-user feedback.

  • Build and optimize data pipelines, ETL/ELT processes, and orchestration workflows for procurement data from ERP systems and other sources, following established architecture and standards.

  • Design and implement scalable data models and curated data sets (lake/warehouse) to support analytics and reporting needs.

  • Implement and monitor data quality checks and documentation; support compliance with organizational data governance and control requirements.

  • Develop and maintain data extracts, APIs, and automation routines as needed to improve procurement reporting and operational insights.

  • Collaborate with team members through design discussions and peer code reviews; contribute to shared patterns, documentation, and technical hygiene.

  • Identify opportunities to improve performance, reliability, and cost of data solutions; recommend and help pilot enhancements in collaboration with the broader data platform team.

What you will need:

Required Qualification:

  • Bachelor's degree in computer science, supply chain management or related field required. Master’s degree preferred.

  • 5+ years in Data Engineering, Business Intelligence, Information Systems, or related field (supply chain/procurement analytics experience is required).

  • Hands-on experience implementing data solutions in cloud environments (Azure preferred) and supporting production workloads.

  • Demonstrated ability to deliver data products end-to-end (requirements, build, test, deploy, support) with measurable impact.

Preferred Qualification:
  • Strong analytical and problem-solving skills, with keen attention to detail.

  • Excellent communication skills, capable of conveying technical concepts to non-technical stakeholders.

  • Collaborative mindset with the ability to work effectively in cross-functional teams.

  • Continuous improvement mindset with the ability to prioritize work and align solutions to business needs.

Travel Percentage: 10%

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