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Staff Data Engineer - AI Solutions @ Resilinc

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 Staff Data Engineer - AI Solutions

Job Description

The Staff Data Engineer will architect and scale the next generation of our real-time, AI-powe'red data infrastructure. In this high-impact role, you'll design and build systems that power everything from advanced machine learning to regulatory insights and global supplier intelligence.

you'll take full ownership of end-to-end data architecture driving innovation at the intersection of cloud, big data, and AI. If you're passionate about building scalable platforms, thrive in fast-moving environments, and want to shape the data foundation of a global technology company, we'd love to connect.
What You Will Do
    • Architect and Scale Data Infrastructure : Design and maintain high-throughput data pipelines and distributed systems to support real-time and batch data processing.
    • Build for AI : Collaborate with ML engineers and data scientists to operationalize models and ensure data readiness for AI pipelines.
    • Create Reliable ETL/ELT Pipelines : Develop resilient data ingestion, transformation, and loading processes from external sources, including APIs andcustomer/partner data.
    • Drive Data Quality & Governance : Implement best practices for data validation, lineage tracking, and compliance, ensuring audit-readiness and trustworthiness.
    • Optimize for Performance : Continuously tune systems for speed, scalability, and cost-efficiency from schema design to processing engines.
    • Mentor and Influence : Serve as a go-to technical expert across engineering teams and play a leadership role in defining data engineering standards.
    • Collaborate Globally : Engage with distributed teams across US and India time zones to deliver cohesive and scalable solutions.
What You Will Bring
    • 8+ years of experience in data engineering or backend development with a focus on highly scalable data systems.
    • Experience working in a B2B SaaS /AI company , ideally in a high-growth or startup environment.
    • Proven track record of designing and scaling cloud-based data platforms (AWS, GCP, or Azure).
    • Deep expertise in tools like Databricks or equivalent.
    • Proficiency in Python, SQL , and experience with data modeling and architecture patterns.
    • Strong understanding of real-time and batch processing, event-driven systems, and data lakehouse principles.
    • Experience supporting AI/ML pipelines and working with data science teams.
    • Exceptional English-speaking and -writing communication skills, with a proven ability to convey complex technical ideas clearly across technical and non-technical teams.
    • Experience working with global teams across US and India time zones, demonstrating flexibility and collaboration.
What Will Make You Stand Out
    • Experience with Graph Databases such as Neo4j.
    • Experience working in the Supply Chain Industry.
    • Familiarity with data security, privacy, and compliance standards (GDPR, SOC 2, ISO 27001).
Why You Will Love It Here
    • Data with Purpose: Help shape global supply chains by engineering the data backbone of ESG, compliance, and risk intelligence.
    • Hypergrowth Momentum: Join a category-defining SaaS company at the forefront of AI and supply chain tech.
    • Tech-First Culture: Work with modern data stacks, deep learning teams, and a product that s redefining an industry.
    • Leadership Track: Senior IC role with mentorship, influence, and opportunity to grow into an architect or manager path.
    • Remote-Friendly Flexibility: Work from anywhere in India.

Job Classification

Industry: Software Product
Functional Area / Department: Data Science & Analytics
Role Category: Data Science & Machine Learning
Role: Data Science & Machine Learning - Other
Employement Type: Full time

Contact Details:

Company: Resilinc
Location(s): Pune

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Keyskills:   Supply chain Data modeling SOC ISO 27001 Risk management Distribution system Automotive SQL Python Auditing

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Resilinc

Every year, tens of thousands of events ranging from natural disasters to factory fires to health epidemics shut down manufacturing and wreak havoc on global supply chains. We believe a resilient supply chain is good for everyone: it keeps product flowing, the world moving, and most importantly, peo...