Anand Niketan Delhi Delhi Junior full stack Jobs – 127 Open Jobs Today

Senior Data Engineer
WebSenor InfoTech —Noida, Uttar Pradesh
- Full-time
- Hybrid work
- Azure
- SQL
- APIs
Quick apply
Senior / Lead DevOps Engineer
3Clogic —Noida, Uttar Pradesh
- Full-time
- Remote
- DevOps
- Databases
- AWS
Senior Software Developer-JAVA
Alight —Noida, Uttar Pradesh
- Oracle
- Software troubleshooting
- Java
- Health insurance
- Paid sick time
Senior Computer Scientist
Adobe —Noida, Uttar Pradesh
- Full-time
- Azure
- Oracle
- DevOps
8d
2021871-Manager
EXL Service —Gurugram, Haryana
- Full-time
- Azure
- Computer Science
- B.Sc
Quality Engineering Lead (Test Lead)
Accenture —Gurugram, Haryana
- Full-time
- DevOps
- Java
- Agile
Sr. Data Engineer
WebSenor InfoTech —Noida, Uttar Pradesh
- Full-time
- Hybrid work
- Azure
- SQL
- APIs
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Senior Associate, Viz CoE (GenAI FullStack)
Bain & Co. —Gurugram, Haryana
- Full-time
- Azure
- DevOps
- Master's degree
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Lead Java Engineer - AI Native
EPAM Systems, Inc. —Gurugram, Haryana
- Azure
- English
- Java
- Health insurance
- Paid time off
241195-Lead Assistant Manager
EXL Service —Noida, Uttar Pradesh
- Full-time
- Azure
- Customer service
- Salesforce
Enterprise sales specialist/Account Sales Executive
POSist Technologies —Delhi, Delhi
- Full-time
- Restaurant
- Restaurant experience
Java API Lead | EXP : 5+ yrs
Datamatics Global Services Limited —Gurugram, Haryana
- Email
- Azure
- Oracle
- DevOps
Senior Enterprise Sales Specialist- North
POSist Technologies —Delhi, Delhi
- Full-time
- Sales
- Restaurant
- Restaurant experience
Lead Software Engineer
Midland Credit Management India Pvt. Ltd. —Gurugram, Haryana
- Full-time
- Oracle
- DevOps
- Master's degree
1d

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Senior Data Engineer

WebSenor InfoTech -
Noida, Uttar Pradesh

Quick apply

Job details

Full-time

Qualifications

CI/CD
Azure
Git
SQL
Continuous integration
Scrum
GitHub
APIs
ETL
Agile
Apache
AI
Python
Design patterns

Full job description

Job Title: Senior Data Engineer

Experience: 7+ Years
Employment Type: Full-Time

About the Role

We are looking for an experienced Senior Data Engineer to lead cloud data modernization initiatives and build scalable, AI-ready data platforms. The ideal candidate should have strong expertise in Databricks, PySpark, Azure Data Factory (ADF), Azure Logic Apps, and Apache Airflow, with hands-on experience in designing, orchestrating, and optimizing enterprise-grade data pipelines.

Key Responsibilities

Design, develop, and maintain scalable data pipelines using Databricks (PySpark), Azure Data Factory (ADF), Azure Logic Apps, and Apache Airflow.
Build and manage end-to-end orchestration frameworks by integrating Airflow DAGs with ADF and Logic Apps.
Implement advanced workflow orchestration patterns including event-driven, micro-batch, and hybrid scheduling.
Ensure pipeline dependency management, execution reliability, and operational excellence.
Develop high-performance ETL/ELT pipelines using Databricks and Delta Lake architecture.
Implement data observability, monitoring, logging, and alerting mechanisms across workflows.
Optimize data pipelines for performance, scalability, reliability, and cost efficiency.
Integrate pipelines with Azure services such as Azure Data Lake Storage (ADLS Gen2), Azure Blob Storage, and Event Triggers.
Implement CI/CD pipelines using GitHub Actions or similar DevOps tools.
Ensure data quality, governance, security, and compliance across the data platform.
Collaborate with Data Science and AI/ML teams to enable AI/ML and GenAI data readiness.
Mentor junior engineers and establish best practices for orchestration, pipeline development, and data engineering.

Required Skills & Qualifications

7+ years of experience in Data Engineering.
Strong expertise in:
Databricks (PySpark, Delta Lake)
Azure Data Factory (ADF)
Azure Logic Apps
Apache Airflow
Strong programming skills in Python and Advanced SQL.
Experience building enterprise-scale orchestrated data platforms with multiple tool integrations.
Solid understanding of ETL/ELT design patterns and workflow orchestration frameworks.
Experience with cloud-native data architectures, preferably on Microsoft Azure.
Hands-on experience with monitoring, logging, alerting, and pipeline reliability.
Experience working with Azure Data Lake Storage (ADLS Gen2), Azure Blob Storage, and event-driven architectures.
Knowledge of CI/CD practices and tools such as GitHub Actions.
Strong understanding of data governance, security, and compliance best practices.

Preferred Qualifications

Experience with event-driven architectures and API integrations.
Exposure to AI/ML data pipelines and MLflow.
Knowledge of Data Lakehouse architecture and governance frameworks.
Azure and Databricks certifications are an added advantage.
Experience working in Agile/Scrum development environments.

Preferred Technology Stack

Databricks (PySpark, Delta Lake)
Azure Data Factory (ADF)
Azure Logic Apps
Apache Airflow
Python
SQL
Azure Data Lake Storage (ADLS Gen2)
Azure Blob Storage
GitHub Actions
MLflow
Azure Cloud

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

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junior full stack jobs in anand niketan delhi delhi

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