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XenonStack is the fastest-growing Data and AI Foundry for Agentic Systems, enabling people and organizations to gain real-time, intelligent business insights.
We deliver innovation through:
Akira AI – Building Agentic Systems for AI Agents
XenonStack Vision AI – Vision AI Platform
NexaStack AI – Inference AI Infrastructure for Agentic Systems
Our mission is to help enterprises transform into future-ready, data-driven organizations through Cloud Native Platforms, Decision-Driven Analytics, and AI-powered solutions.
Our DataOps team is seeking a Senior Data Engineer who will design, build, and optimize scalable data platform architectures to support analytics, AI, and enterprise decision-making. This role requires deep technical expertise, architectural thinking, and problem-solving skills to handle complex data challenges at scale.
If you are highly skilled in Python, Java/Scala, SQL, distributed systems, and data analytics frameworks—and thrive on solving complex data problems—this role is for you.
Data Platform Architecture & Development
Design, construct, test, and maintain scalable, high-performance data architectures aligned with business requirements.
Implement batch, event-driven, and real-time analytics solutions.
Optimize and reformulate existing data frameworks for better scalability and performance.
Data Processing & Transformation
Build and maintain ETL/ELT pipelines to transform raw data into actionable insights for Data Science and BI teams.
Ensure data quality, consistency, and availability across environments.
Collaboration & Stakeholder Engagement
Work closely with internal teams and clients to capture business and technical requirements.
Partner with BI, AI, and analytics teams to deliver efficient data solutions.
Innovation & Best Practices
Stay updated with emerging big data technologies and industry best practices.
Apply architectural design patterns for scalable data analytics solutions.
Data Security & Governance
Ensure secure, compliant, and well-documented data systems.
Implement monitoring, backup, and recovery processes for data infrastructure.
Technical Expertise
Proficiency in Python and Java/Scala.
Strong SQL and statistical analysis skills.
Experience with data warehousing, ETL tools, APIs, and machine learning workflows.
Knowledge of distributed systems for large-scale data processing.
Familiarity with Hadoop, Apache Spark, Delta Lake, and time-series/analytical data stores.
Strong foundation in algorithms and data structures.
Professional Attributes
Excellent communication skills and attention to detail.
Strong analytical mindset and organizational skills.
Ability to visualize complex data systems and solve problems efficiently.
Proactive, collaborative, and committed to continuous learning.
1. Continuous Learning & Growth
Access to certifications, training programs, and skill-building sessions.
Exposure to cutting-edge data, AI, and analytics technologies.
2. Recognition & Rewards
Performance-based incentives and rewards.
Special recognition for exceptional contributions and technical expertise.
3. Work Benefits & Well-being
Comprehensive medical insurance for you and your family.
Additional allowances for project-specific assignments.
Special skill allowances for niche technical capabilities.
At XenonStack, we cultivate a growth-driven, people-first culture built on bold leadership, collaboration, and innovation. We value deep work, an obsession with adoption, and a commitment to delivering solutions that are both impactful and elegantly simple.
Our Product Philosophy:
Obsessed with Adoption – Designing every solution to make AI accessible and accelerate enterprise adoption.
Obsessed with Simplicity – Transforming complexity into seamless, intuitive, and measurable outcomes.
Join us in our mission to accelerate the world’s transition to AI + Human Intelligence, and be part of shaping how enterprises work, think, and grow.
XenonStack
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