Uttar Pradesh Platform engineer data storage Jobs – 90 Open Jobs Today

Data Engineer 1
WebSenor —Noida, Uttar Pradesh
- Full-time
- Hybrid work
- Azure
- Computer Science
- DevOps
5h
Service Specialist - IT Infra
GE Vernova —Noida, Uttar Pradesh
- Full-time
- Computer Science
- English
- Windows
Solution Architect
Luxoft —Noida, Uttar Pradesh
- English
- Master's degree
- AWS
Director- Architect
apexanalytix —Noida, Uttar Pradesh
- Full-time
- Computer Science
- Bachelor's degree
- Travel
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9d
Renewable Energy Technical Engineers (Noida)
Univers —Noida, Uttar Pradesh
- Full-time
- English
- Master's degree
- Bachelor's degree
Quick apply
IOS Developer - Fresher
Tuple Technologies —Unknown, Uttar Pradesh
- APIs
- AI
- Flexible schedule
Quick apply
Software Architect (DEX)
TeamViewer Germany GmbH —Noida, Uttar Pradesh
- Hybrid work
- Azure
- Computer Science
- System design
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Data Architect - Data Engineering 4D
Genpact India Pvt. Ltd. —Noida, Uttar Pradesh
- Full-time
- Azure
- Oracle
- Computer Science
Quick apply
Senior Site Reliability Engineer I
Sumo Logic —Noida, Uttar Pradesh
- Computer Science
- Java
- Master's degree
Azure Integration Engineering Manager
Crowe Capability Center - India —Noida, Uttar Pradesh
- Full-time
- Azure
- DevOps
- SQL
Quick apply
3d
Senior Data Engineer
WebSenor —Noida, Uttar Pradesh
- Full-time
- Hybrid work
- Azure
- Computer Science
- SQL
5h
Sr Cloud Data Engineer
WebSenor —Noida, Uttar Pradesh
- Full-time
- Hybrid work
- Azure
- Computer Science
- Software troubleshooting
5h
Quadient Workflow Engineer
WebSenor —Noida, Uttar Pradesh
- Full-time
- Hybrid work
- Azure
- Computer Science
- Software troubleshooting
5h

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Service Specialist - IT Infra
GE Vernova —Noida, Uttar Pradesh
Basic knowledge working with IPAMs and password solutions. Escalates issues that impact the client and/or strategic initiatives.

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Data Engineer 1

WebSenor -
Noida, Uttar Pradesh

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Job details

Full-time
5 hours ago

Qualifications

BCS
CI/CD
Azure
Cloud architecture
Business intelligence
Computer Science
Kubernetes
Software deployment
DevOps
Spark
Git
Quality management
Databases
SQL
Docker
Bachelor's degree
Distributed systems
Continuous integration
Data analytics
Scrum
GitHub
Agile
Apache
Data science
AI
Python
Information Technology

Full job description

Job Title: Data Engineer
Experience: 5+ Years
Employment Type: Full-Time

Role Summary

We are seeking an experienced Data Engineer with strong expertise in cloud data engineering, distributed processing, and modern data platforms to design, build, and maintain scalable data solutions. The ideal candidate will have hands-on experience with Snowflake, Python, SQL, Azure, Apache Spark, Databricks, Kubernetes, and Airflow, along with exposure to CI/CD practices and AI/ML model deployment workflows.

The candidate will play a key role in developing enterprise data pipelines, enabling analytics capabilities, optimizing data platforms, and supporting healthcare data initiatives with secure, reliable, and scalable solutions.

Key Responsibilities

Design, develop, and maintain scalable data pipelines and data processing frameworks.
Build and optimize data solutions using Snowflake, Azure, Spark, and Databricks.
Develop robust ETL/ELT workflows to ingest, transform, and process large volumes of structured and unstructured data.
Write efficient and optimized SQL queries for data extraction, transformation, and analytics.
Develop Python-based data processing applications and automation scripts.
Work with Apache Spark for large-scale distributed data processing and performance optimization.
Design and manage data workflows using Apache Airflow.
Deploy and manage data applications using Kubernetes and cloud-native technologies.
Implement CI/CD pipelines using GitHub and related DevOps practices.
Collaborate with data analysts, data scientists, architects, and business teams to deliver analytics solutions.
Support AI/ML initiatives by enabling data pipelines and assisting with model deployment workflows.
Build and maintain data models, datasets, and analytical solutions to support business intelligence requirements.
Perform data quality checks, validation, monitoring, and troubleshooting of production data pipelines.
Optimize data platform performance, scalability, and reliability.
Implement security, governance, and compliance best practices for enterprise healthcare data.
Participate in architecture discussions, code reviews, and continuous improvement initiatives.

Required QualificationsEducation

Bachelor’s degree in Computer Science, Engineering, Information Technology, Data Science, or related field.

Experience

5+ years of experience in Data Engineering roles.
Strong experience building enterprise-scale data pipelines and analytics platforms.
Experience working with cloud-based data solutions and distributed processing environments.
Healthcare domain experience is preferred.

Required Technical SkillsData Engineering & Cloud Platforms

Snowflake
Microsoft Azure
Apache Spark
Databricks (Preferred)
Data Lake / Lakehouse architectures
ETL/ELT development
Data pipeline design and optimization

Programming & Databases

Strong programming experience with Python
Advanced SQL skills
Experience with data transformation, optimization, and performance tuning

Workflow Orchestration

Apache Airflow
Workflow scheduling and dependency management
Pipeline monitoring and troubleshooting

Containerization & DevOps

Kubernetes
Docker (Preferred)
GitHub
CI/CD pipeline development and automation
Version control best practices

AI/ML Engineering

Experience supporting AI/ML workflows
Understanding of model deployment processes
Experience integrating ML models into production data platforms is preferred

Data Analytics

Strong understanding of data analytics concepts
Ability to support reporting, visualization, and business intelligence requirements
Experience working with analytical datasets and data models

Preferred Skills

Experience working with healthcare data platforms, claims, clinical, member, or provider data.
Knowledge of healthcare data standards and compliance requirements.
Experience with Azure services such as Azure Data Factory, Azure Databricks, Azure Storage, and Azure Synapse.
Experience implementing data governance, security, and data quality frameworks.
Familiarity with modern cloud-native architecture patterns.
Experience working in Agile/Scrum environments.

Key Competencies

Data Engineering & Architecture
Cloud Data Platforms
Data Pipeline Development
Distributed Computing
Data Analytics
Performance Optimization
Problem Solving
Automation & DevOps Practices
Data Quality Management
Collaboration & Communication
Healthcare Data Understanding

Why Join Us?

Work on enterprise-scale healthcare data engineering initiatives.
Build modern cloud-native data platforms using cutting-edge technologies.
Collaborate with engineering, analytics, and AI/ML teams.
Opportunity to contribute to scalable, secure, and impactful data solutions.

Work Location: Hybrid remote in Noida, Uttar Pradesh (Noida)

Apply Now

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platform engineer data storage jobs in uttar pradesh

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