Senior Data Engineer Azure

Year    PB, IN, India

Job Description

Job Information




Date Opened


08/08/2025

Job Type


Full time

Industry


Technology

Work Experience


7 -9 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

.







Benefits

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Job Detail

  • Job Id
    JD4019739
  • Industry
    Not mentioned
  • Total Positions
    1
  • Job Type:
    Full Time
  • Salary:
    Not mentioned
  • Employment Status
    Permanent
  • Job Location
    PB, IN, India
  • Education
    Not mentioned
  • Experience
    Year