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XenonStack is the fastest-growing Data and AI Foundry for Agentic Systems, enabling people and organizations to gain real-time and 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 accelerate the world’s transition to AI + Human Intelligence by building cloud-native platforms, decision-driven analytics, and enterprise-ready AI solutions.
We are seeking an experienced Senior Data Engineer – Microsoft Azure with 4+ years of expertise in designing, building, and maintaining modern data platforms on Azure. This role offers the chance to own complex data engineering solutions, optimize large-scale data workflows, and work at the forefront of cloud-native AI-driven analytics.
You will collaborate closely with Data Science, AI, and Platform Engineering teams to deliver high-performance, scalable, and secure data systems that power real-time insights for enterprise clients.
Azure Data Platform Development
Design, develop, and maintain data pipelines, ETL/ELT workflows, and integration processes using Azure services.
Implement scalable data architectures leveraging Azure Data Factory, Azure Synapse Analytics, Azure Databricks, and Azure Data Lake.
Data Engineering & Optimization
Build and optimize data ingestion and transformation processes for batch, streaming, and real-time analytics.
Ensure data quality, security, and governance across the platform.
Apply performance tuning for large-scale datasets to improve latency, throughput, and cost efficiency.
Collaboration & Delivery
Work closely with Data Scientists, BI teams, and application developers to meet business requirements.
Support advanced analytics and AI initiatives by enabling accessible, well-structured data.
Participate in code reviews, architecture discussions, and DevOps practices for deployment and monitoring.
Innovation & Continuous Improvement
Stay updated on Azure cloud-native innovations and recommend modern tools and frameworks.
Automate workflows for scalability, maintainability, and operational efficiency.
Technical Skills
Bachelor’s degree in Computer Science, Engineering, or related field.
4+ years of hands-on data engineering experience, with at least 2+ years in Microsoft Azure ecosystems.
Proficiency in Azure Data Factory, Synapse Analytics, Databricks, and Data Lake Storage.
Strong programming skills in Python, SQL, and one additional language (Scala, Java, or C# preferred).
Experience with data modeling, warehousing, and advanced ETL/ELT design patterns.
Knowledge of Azure Event Hubs, Azure Stream Analytics, and other real-time processing services.
Understanding of data governance, security, and compliance in cloud environments.
Familiarity with CI/CD pipelines, Git, and Infrastructure-as-Code (Terraform, Bicep, ARM templates).
Professional Attributes
Strong problem-solving and analytical thinking skills.
Proven ability to work collaboratively in cross-functional teams.
Excellent communication skills for both technical and non-technical audiences.
Self-driven, adaptable, and passionate about continuous learning.
1. Continuous Learning & Growth
Access to advanced cloud and data certifications.
Opportunities to work on AI + Big Data integration projects for global enterprises.
2. Recognition & Rewards
Performance-based incentives and recognition for innovation.
3. Work Benefits & Well-Being
Comprehensive medical insurance.
Project-based allowances and cab facilities for women employees.
At XenonStack, we foster a culture of cultivation built on bold, human-centric leadership. We value deep work, an obsession with adoption, and simplicity in every solution we deliver.
Our Product Philosophy:
Obsessed with Adoption – Making AI accessible and simplifying enterprise processes.
Obsessed with Simplicity – Turning complexity into intuitive, impactful experiences.
Be part of our mission to accelerate the world’s transition to AI + Human Intelligence.
XenonStack
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