Senior Data Engineer

About the role

Senior Data Engineer, Supply Chain Resilience

Resilinc is building the next generation of supply chain intelligence. We combine agentic AI with a mission-led culture to deliver real-time risk visibility for global enterprises. As a recognized leader, we serve critical sectors including life sciences, aerospace, defense, high tech, and automotive. Our fully remote team ensures that life-saving products and essential goods move safely and efficiently around the world. If you are driven by meaningful work, join us in tackling the most complex challenges in global logistics.

This Senior Data Engineer position is central to our growth and innovation. You will own the data architecture that powers our monitoring and analytics. The role bridges technical execution and business impact, working closely with enterprise customers. Your work will define how risk signals are processed and turned into actionable insight.

Position Details

Location: India

Engagement: Full-time

Compensation: 28,00,000 INR per year

What you'll do

• Architect the ingestion layer that standardizes diverse supply chain signals into a governed data lake, ensuring raw events are captured with integrity and traceability.
• Build transformation logic that converts fragmented event streams into structured, versioned features that power visibility, monitoring, and real-time analytics.
• Refine dimensional and semantic data models to accelerate product team iteration while preserving backward compatibility and stable customer views.
• Implement automated testing patterns and data quality rules that continuously validate correctness and completeness of critical datasets.
• Coordinate with customer success and implementation teams to align schemas with specific use cases, regulatory obligations, and compliance requirements.
• Guide platform improvements and self-service tooling to allow operations teams to extend pipelines with minimal friction and maximum reliability.
• Maintain precise documentation for data contracts, lineage, and dependencies to serve both internal engineers and external integration partners.
• Support deployment practices and change management activities to move modifications safely from development through staging to production environments.
• Partner with data scientists and analysts to optimize data structures for analytical performance, cost efficiency, and query responsiveness.
• Contribute to the reliability, scalability, and security of the data platform through proactive monitoring, alerting, and continuous improvement initiatives.

Requirements

• Bring a minimum of three years of hands-on experience building data platforms in cloud environments, covering design, implementation, and optimization across multiple services.
• Demonstrate fluency in SQL for complex querying, optimization, and debugging across large, distributed datasets in a cloud data warehouse.
• Show proficiency in at least one modern programming language commonly used for data engineering, writing clean, efficient, and maintainable code.
• Illustrate the ability to design robust schemas and storage formats, such as columnar and partitioning strategies, that handle high-volume event data with low latency.
• Prove experience with both streaming and batch processing concepts, integrating them into coherent analytical architectures that support near real-time insights.
• Display comfort engaging with technical and business stakeholders, clarifying ambiguous requirements and constraints to achieve shared understanding and alignment.
• Commit to following defined processes, standards, and governance practices that ensure data integrity, security, and regulatory adherence across the platform.
• Communicate effectively in written and verbal formats, producing clear documentation and presenting technical tradeoffs to diverse audiences.

Nice to have

• Experience working in life sciences, aerospace, defense, high tech, or automotive contexts, with an understanding of domain-specific data challenges.
• Familiarity with regulated environments and compliance considerations, such as data residency, auditability, and controlled access, recognized as a strong asset.

Practical notes

• Location for this role is specified as India, and candidates must be able to work from the designated Indian location as required.
• This is a full-time engagement with standard working hours as defined by company policy and project commitments.
• Travel is not expected as part of this role, given the fully remote nature of the position and the India-based assignment.
• Visa and documentation requirements will be handled in accordance with local regulations and company procedures for India-based hires.
• The successful candidate will be required to ensure that all personal documents and credentials are current, valid, and accurately submitted during the hiring process.
• This role provides the opportunity to directly influence the resilience of critical global supply chains affecting essential goods and life-saving products.