Resilinc: Senior Data Engineer — India

About Resilinc

Resilinc provides supply-chain risk management services. Its platform maps supplier sites and lower-tier supply networks, monitors disruptions such as natural events, unrest and regulatory changes, and applies AI agents to assess impact and suggest responses. Clients in manufacturing and other industries use the monitoring to guard production against supply interruptions, and its employer feed lists data, analysis and engineering roles.

The position and its setting

Resilinc lists Senior Data Engineer in India, under reference 98e013c3-84ff-4596-8712-6401c0fb3d55. The details below separate the work described by the employer from essential conditions, preferred experience and practical preparation advice.

• Department: Data Science
• Employment type: Full Time
• team: Data Science

Responsibilities and work described

• Customer Engagement & Solution Ownership
• Partner directly with enterprise customers and business stakeholders to understand data challenges, define requirements, and deliver scalable solutions
• Own technical delivery for customer engagements from discovery and solution design through implementation and adoption
• Help customers maximize the value of Resilinc’s data and analytics capabilities through effective solution design and execution
• Present technical architectures, implementation plans, and business outcomes to both technical and executive audiences
• Data Platform & Pipeline Engineering
• Design, build, and maintain scalable batch and real-time data pipelines and data products using Databricks, ClickHouse, Python, and distributed data processing frameworks
• Architecture: modern cloud-native data platforms leveraging Databricks, Delta Lake, Azure Data Services, and distributed processing technologies
• Development: robust ETL/ELT frameworks, data models, and data quality monitoring processes
• Optimize data storage, query performance, scalability, reliability, and cost efficiency across large-scale datasets
• Building: and maintain data products that enable analytics, reporting, operational workflows, and AI/ML applications
• Engineering Leadership & Collaboration
• Collaboration: closely with Product, Engineering, Solutions Consulting, and Customer Success teams to deliver customer outcomes
• Drive best practices in data governance, security, observability, reliability, and operational excellence
• Contribution: to architecture decisions, technical design reviews, and platform evolution
• Mentor junior engineers and contribute to engineering best practices

Essential requirements and candidate background

• BE/MS in Computer Science, Information Technology, Engineering, or a related field
• 5+ years of experience in data engineering, data platform development, or related disciplines
• Experience: Databricks, Apache Spark, Delta Lake, or similar distributed data processing technologies
• Experience designing and operating analytical data platforms using ClickHouse or similar high-performance analytical databases
• Advanced proficiency in Python and SQL, with software engineering fundamentals
• Experience building scalable ETL/ELT pipelines, orchestration workflows, and modern data architectures
• Understanding: data modeling, data warehousing, and analytics platform design
• Experience implementing CI/CD, infrastructure automation, and DevOps practices for data platforms
• Communication and stakeholder management skills, with the ability to translate business requirements into technical solutions
• Navigate ambiguity, drive outcomes independently, and succeed in customer-facing environments

Preferred experience and additional strengths

• Experience: cloud-based data platforms and services, including Azure (preferred) or equivalent cloud ecosystems

Location, schedule and contract conditions

• Work arrangement: Remote
• Advertised location: India

Benefits mentioned by the employer

• At Resilinc, we’re fully remote, with plenty of opportunities to connect in person
• We provide a culture where ownership, purpose, technical growth and a voice in shaping impactful technology are at our core
• Oh, and the perks?
• Full-stack benefits for health, wealth and wellbeing to keep you thriving
• Check in with your talent acquisition contact for a location-specific FAQ
• Curious to know more about us?
• Dive in at www.resilinc.ai
• More great news!
• Resilinc is backed by Vista Equity Partners

Pay and application dates

A verified salary figure is not established in this article. An online estimate for another Senior Data Engineer vacancy is not an offer for reference 98e013c3-84ff-4596-8712-6401c0fb3d55; use the employer’s own pay disclosure and recruitment communication.

A closing date is not confirmed in this article. Check the current employer page before submitting: an undated posting can change or be withdrawn.

How to apply to Resilinc

Applications follow the official employer page linked below.

Open the official Resilinc posting below and match the title and reference 98e013c3-84ff-4596-8712-6401c0fb3d55.

Compare your qualifications and experience with the essential conditions for the India position, then read the preferred criteria separately.

Prepare an accurate CV and the supporting items requested in that employer’s application. Provide only information and documents you are authorised to share.

Use the employer’s application option, complete the required fields and review the submission. Retain the acknowledgement when one is provided. Job Alerts World does not receive the application.

Practical preparation: Python

Python work is easier to assess through a concrete example than a list of libraries. Explain the problem, the input data, the parts you implemented and how you checked the output. Include a repository or a short technical note when you can share it.

Relevant skills

• Python
• SQL
• Spark
• CI/CD
• Azure
• AI/ML
• AI
• risk management
• supply chain
• Terraform