Dadri Noida Uttar Pradesh Ai ml architect Jobs – 130 Open Jobs Today

Data Engineer ||
WebSenor InfoTech —Noida, Uttar Pradesh
- Full-time
- Hybrid work
- Azure
- Computer Science
- DevOps
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5h
Data Engineer
WebSenor InfoTech —Noida, Uttar Pradesh
- Full-time
- Azure
- Computer Science
- DevOps
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5h
Sr Cloud Data Engineer
WebSenor InfoTech —Noida, Uttar Pradesh
- Full-time
- Hybrid work
- Azure
- Computer Science
- Software troubleshooting
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5h
Senior Data Engineer
WebSenor InfoTech —Noida, Uttar Pradesh
- Full-time
- Hybrid work
- Azure
- Computer Science
- SQL
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5h
Data Modeler
WebSenor InfoTech —Noida, Uttar Pradesh
- Full-time
- Azure
- Oracle
- Computer Science
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4h
Senior Cloud DBA
Websenor —Noida, Uttar Pradesh
- Full-time
- Hybrid work
- Azure
- Computer Science
- DevOps
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2h
Senior Cloud DBA - PostgreSQL & Databricks Lakehouse
WebSenor InfoTech —Noida, Uttar Pradesh
- Full-time
- Remote
- Azure
- Computer Science
- DevOps
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4h

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Data Engineer ||

WebSenor InfoTech -
Noida, Uttar Pradesh

Quick apply

Job details

Full-time
5 hours ago

Qualifications

BCS
CI/CD
Power BI
Azure
Business intelligence
Computer Science
DevOps
Git
Quality management
Tableau
SQL
Bachelor's degree
Machine learning
Continuous integration
Agile
Data science
AI
Data warehouse
Python
Analytics
Information Technology

Full job description

Job Description – Data Engineer

Job Title: Data Engineer
Experience: 5–8 Years
Employment Type: Full-Time

Role Summary

We are seeking an experienced Data Engineer to support enterprise healthcare data platforms, AI/ML initiatives, reporting modernization, and cloud-based data engineering programs. The ideal candidate will have strong expertise in designing, developing, and optimizing scalable data pipelines, building modern data warehouse solutions, and integrating diverse healthcare data sources.

The candidate will collaborate with Data Architects, Data Scientists, Business Analysts, and engineering teams to deliver secure, reliable, and high-performance data solutions that support analytics, reporting, and AI/ML use cases.

Key Responsibilities

Design, develop, test, and maintain scalable ETL/ELT pipelines for enterprise data platforms.
Build and optimize data ingestion frameworks using Snowflake, Azure Data Factory, Databricks, and cloud-based technologies.
Integrate data from multiple healthcare source systems including claims, membership, provider, and clinical data platforms.
Develop and maintain enterprise data models supporting:
Reporting
Analytics
Business intelligence
AI/ML solutions
Perform data transformation, cleansing, validation, and enrichment activities.
Ensure data quality, governance, security, and compliance standards are followed across data solutions.
Develop efficient SQL queries and optimize data processing performance.
Support reporting modernization initiatives, including migration from legacy reporting platforms.
Collaborate with Data Architects and Data Scientists to prepare and optimize datasets for advanced analytics and machine learning workflows.
Troubleshoot data pipeline failures, performance issues, and production data processing challenges.
Implement data engineering best practices for scalability, reliability, and maintainability.
Participate in Agile ceremonies, technical discussions, code reviews, and release activities.
Maintain documentation related to data pipelines, architecture, processes, and operational procedures.

Required QualificationsEducation

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

Experience

5–8 years of experience in Data Engineering roles.
Experience building enterprise-scale data pipelines and data warehouse solutions.
Experience working with cloud-based data platforms and modern analytics ecosystems.
Strong understanding of data engineering concepts, architecture, and best practices.

Required Technical SkillsProgramming & Database Technologies

Strong programming skills in:
SQL
Python
Experience with:
Complex SQL queries
Data transformation logic
Query optimization
Data validation processes

Cloud Data Platforms

Hands-on experience with one or more:

Snowflake
Azure Data Factory (ADF)
Azure Databricks
Azure Cloud data services
Similar cloud-based data engineering platforms

Data Engineering

Strong understanding of:

ETL/ELT frameworks
Data pipeline development
Data ingestion frameworks
Data warehouse concepts
Data modeling
Data integration patterns
Data quality management

DevOps & Engineering Practices

Experience with:

Git
CI/CD pipelines
Agile development methodologies
Source control best practices
Production support processes

Desired Skills

Healthcare domain experience, including:
Claims data
Membership data
Provider data
Clinical data
Healthcare analytics platforms
Exposure to AI/ML data preparation workflows.
Experience preparing datasets for machine learning models.
Experience with reporting and visualization tools such as:
Power BI
Tableau
Knowledge of healthcare data governance, privacy, and compliance requirements.
Experience with cloud data modernization initiatives.

Key Competencies

Data Pipeline Development
Cloud Data Engineering
Snowflake Development
SQL & Python Programming
Data Modeling
Healthcare Data Analytics
Data Quality & Governance
Performance Optimization
Problem Solving
Collaboration & Communication
Agile Delivery

Role Outcomes

The successful candidate will:

Build and maintain scalable healthcare data platforms.
Enable analytics, reporting, and AI/ML initiatives through reliable data solutions.
Modernize legacy reporting and data processing workflows.
Improve data quality, accessibility, and performance across enterprise data ecosystems.

Work Location: Hybrid remote in Noida, Uttar Pradesh

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ai ml architect jobs in dadri noida uttar pradesh

Data Engineer ||

Data Engineer

Sr Cloud Data Engineer

Senior Data Engineer

Data Modeler

Senior Cloud DBA

Senior Cloud DBA - PostgreSQL & Databricks Lakehouse

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