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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