Vaishali Ghaziabad Uttar Pradesh Data science senior engineer Jobs – 251 Open Jobs Today

Data Science - Senior Engineer
Iris Software —Noida, Uttar Pradesh
- Azure
- Computer Science
- Java
- Health insurance
Senior Data Engineer
Ameriprise India —Noida, Uttar Pradesh
- Full-time
- Computer Science
- SQL
- AWS
- Work from home
Senior Big Data Engineer II
MetLife —Noida, Uttar Pradesh
- Full-time
- Hybrid work
- Azure
- Computer Science
- DevOps
4d
Track Lead - Microsoft 365 Administration
HCLTech —Gautam Budh Nagar, Uttar Pradesh
- Computer Science
- Project management
- Bachelor's degree
1d
Senior Data Engineer
WebSenor InfoTech —Noida, Uttar Pradesh
- Full-time
- Hybrid work
- Azure
- SQL
- APIs
Quick apply
Senior Big Data Engineer (Scala | PySpark | AWS Glue | Databricks)
WebSenor —Noida, Uttar Pradesh
- Full-time
- Hybrid work
- Azure
- Computer Science
- Master's degree
Quick apply
4d
Senior Data Engineer
Darkroom —Delhi, Delhi
- Full-time
- Remote
- Master's degree
- SQL
- APIs
- Paid time off
Databricks - Senior Engineer
Iris Software —Noida, Uttar Pradesh
- Azure
- SQL
- Analysis skills
- Health insurance
1d
Database Pl/Sql - Senior Engineer
Iris Software —Noida, Uttar Pradesh
- Oracle
- Computer Science
- SQL
- Health insurance
2h
Senior Data Engineer
Adobe —Noida, Uttar Pradesh
- Full-time
- Azure
- Computer Science
- Databases
8d
Solutions Engineer - Senior
Spark Eighteen —Delhi, Delhi
- Full-time
- Computer Science
- Master's degree
- Bachelor's degree
- Health insurance
6h
Senior Data Engineer – Data Modeling & Oracle Cloud Migration
WebSenor InfoTech —Noida, Uttar Pradesh
- Full-time
- Remote
- Azure
- Oracle
- Computer Science
Quick apply
5d
Senior QA Engineer
CoPlay (Powered by Hsquare Sports Pvt Ltd.) —Delhi, Delhi
- Computer Science
- Java
- Bachelor's degree
Quick apply
13d
Senior Data Engineer – GenAI & Unstructured Data Pipelines
WebSenor —Noida, Uttar Pradesh
- Full-time
- Azure
- Computer Science
- Master's degree
Quick apply
14d
Senior Data Engineer – GenAI & Unstructured Data Pipelines
WebSenor InfoTech —Noida, Uttar Pradesh
- Full-time
- Hybrid work
- Azure
- Computer Science
- Master's degree
Quick apply
Associate Test Engineer
Siemens —Noida, Uttar Pradesh
- Full-time
- Oracle
- Computer Science
- Java
2d
Senior QA Engineer
TeamViewer Germany GmbH —Noida, Uttar Pradesh
- Hybrid work
- Azure
- Computer Science
- English
Quick apply
Assistant Forward Deployment Data Engineer
Rhombus Power —Delhi, Delhi
- Full-time
- Computer Science
- Software troubleshooting
- DevOps
Senior DevOps Engineer
Coredge —Noida, Uttar Pradesh
- Full-time
- Computer Science
- Software troubleshooting
- DevOps
Senior Software Engineer
Barco —Noida, Uttar Pradesh
- Computer Science
- DevOps
- Master's degree
1d

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Data Science - Senior Engineer

Iris Software -
Noida, Uttar Pradesh

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Job details

Benefits

Health insurance

Qualifications

TensorFlow
Sage
Cloud infrastructure
Azure
Computer Science
Kubernetes
Big data
Data structures
Spark
NoSQL
Java
Master's degree
Databases
SQL
Pandas
AWS
C++
Docker
C
Bachelor's degree
Machine learning
Scala
EMR systems
APIs
Agile
Apache
Kafka
Data science
Redshift
AI
Communication skills
Python
Data Science
Identity & access management

Full job description

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Posted On: 5 Aug 2026

Location: Noida, UP, India

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Company: Iris Software

Why Join Iris?
Are you ready to do the best work of your career at one of India’s Top 25 Best Workplaces in IT industry? Do you want to grow in an award-winning culture that truly values your talent and ambitions?
Join Iris Software — one of the fastest-growing IT services companies — where you own and shape your success story.

About Us
At Iris Software, our vision is to be our client’s most trusted technology partner, and the first choice for the industry’s top professionals to realize their full potential.
With over 4,300 associates across India, U.S.A, and Canada, we help our enterprise clients thrive with technology-enabled transformation across financial services, healthcare, transportation & logistics, and professional services.
Our work covers complex, mission-critical applications with the latest technologies, such as high-value complex Application & Product Engineering, Data & Analytics, Cloud, DevOps, Data & MLOps, Quality Engineering, and Business Automation.

Working with Us
At Iris, every role is more than a job — it’s a launchpad for growth.
Our Employee Value Proposition, “Build Your Future. Own Your Journey.” reflects our belief that people thrive when they have ownership of their career and the right opportunities to shape it.
We foster a culture where your potential is valued, your voice matters, and your work creates real impact. With cutting-edge projects, personalized career development, continuous learning and mentorship, we support you to grow and become your best — both personally and professionally.
Curious what it’s like to work at Iris? Head to this video for an inside look at the people, the passion, and the possibilities. Watch it here.
Job Description

Key Responsibilities:

Design, implement, and maintain data science pipelines from data ingestion to model deployment.
Collaborate with data scientists to operationalize ML models and algorithms in production environments.
Develop robust APIs and services for ML model inference and integration.
Build and optimize large-scale data processing systems using Spark, Pandas, or similar tools.
Ensure data quality and pipeline reliability through rigorous testing, validation, and monitoring.
Work with cloud infrastructure (AWS) for scalable ML deployment.
Manage model versioning, feature engineering workflows, and experiment tracking.
Optimize performance of models and pipelines for latency, cost, and throughput.

Required Qualifications:

Bachelor’s or Master’s degree in Computer Science, Data Science, Engineering, or a related field.
5+ years of experience in a data science, ML engineering, or software engineering role.
Proficiency in Python (preferred) and SQL; knowledge of Java, Scala, or C++ is a plus.
Experience with data science libraries like Scikit-learn, XGBoost, TensorFlow, or PyTorch.
Familiarity with ML deployment tools such as ML flow, Sage Maker, or Vertex AI.
Solid understanding of data structures, algorithms, and software engineering best practices.
Experience working with databases (SQL, NoSQL) and data lakes (e.g., Delta Lake, Big Query).

Preferred Qualifications:

Experience with containerization and orchestration (Docker, Kubernetes).
Experience working in Agile or cross-functional teams.
Familiarity with streaming data platforms (Kafka, Spark Streaming, Flink).

Soft Skills:

Strong communication skills to bridge technical and business teams.
Excellent problem-solving and analytical thinking.
Self-motivated and capable of working independently or within a team.
Passion for data and a curiosity-driven mindset.

Mandatory Competencies
Data Science and Machine Learning - Data Science and Machine Learning - Python
Cloud - AWS - Amazon IAM, AWS Secrets Manager, AWS KMS, AWS Cognito
Cloud - Cloud - Apache Hudi
Cloud - AWS - Tensorflow on AWS, AWS Glue, AWS EMR, Amazon Data Pipeline, AWS Redshift
Beh - Communication and collaboration
Big Data - Big Data - Azure databricks

Perks and Benefits for Irisians
Iris provides world-class benefits for a personalized employee experience. These benefits are designed to support financial, health and well-being needs of Irisians for a holistic professional and personal growth. Click here to view the benefits. »

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data science senior engineer jobs in vaishali ghaziabad uttar pradesh

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