Cloud Native Platforms, Decision-Driven Analytics, and AI-powered solutions
.
The Opportunity
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.
Key Responsibilities
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.
Skills & Qualifications
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.
Career Growth & Benefits
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.
Life at XenonStack - Join Us & Make an Impact
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.
Benefits
Beware of fraud agents! do not pay money to get a job
MNCJobsIndia.com will not be responsible for any payment made to a third-party. All Terms of Use are applicable.