Senior Data Engineer- Azure

4 years

4 - 5 Lacs

Posted:18 hours ago| Platform: GlassDoor logo

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Work Mode

On-site

Job Type

Part Time

Job Description

Job Information

    Date Opened

    08/08/2025

    Job Type

    Full time

    Industry

    Technology

    Work Experience

    4+ Years

    City

    Mohali

    State/Province

    Punjab

    Country

    India

    Zip/Postal Code

    160071


About XenonStack


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.


The Opportunity


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.


Key Responsibilities


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.


Skills & Qualifications


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.


Career Growth & Benefits


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.


Life at XenonStack – Join Us & Make an Impact


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.



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