Civil Lines Delhi Delhi Platform engineer data storage Jobs – 167 Open Jobs Today

Sr Cloud Data Engineer
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- Full-time
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Sr Cloud Data Engineer

WebSenor InfoTech -
Noida, Uttar Pradesh

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Job details

Full-time
2 hours ago

Qualifications

BCS
CI/CD
Data modelling
Azure
Computer Science
Software troubleshooting
Software deployment
DevOps
Microsoft SQL Server
Git
Google Cloud Platform
SQL
Database design
AWS
Bachelor's degree
Continuous integration
Scripting
Data analytics
Scrum
GitHub
ETL
Agile
Data science
Metadata
SSIS
AI
Python
T-SQL
Information Technology

Full job description

Job Description – Senior Cloud Data Engineer

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

Role Summary

We are seeking a highly skilled Senior Cloud Data Engineer to support a large-scale Cloud Data Modernization initiative. The ideal candidate will have strong experience in migrating enterprise data platforms from on-premises environments to Azure Cloud and Snowflake, along with hands-on expertise in designing, developing, and optimizing modern cloud-based data solutions.

The role requires deep technical expertise in Azure Data Services, Databricks, Snowflake, ETL/ELT development, DevOps practices, and data engineering best practices. The successful candidate will collaborate with architects, developers, business teams, and engineering teams to deliver secure, scalable, and high-performing data platforms.

Key Responsibilities

Lead and execute migration of enterprise ETL workloads from on-premises SQL Server-based data warehouses to Azure Cloud and Snowflake platforms.
Analyze, redesign, and modernize existing ETL processes developed using:
SSIS
T-SQL
SQL Server-based data workflows
Design, develop, and implement scalable cloud data engineering solutions using:
Azure Data Factory (ADF)
Self-hosted Integration Runtime (SHIR)
Azure Data Lake Storage Gen2 (ADLS Gen2)
Azure Blob Storage
Azure Logic Apps
Azure Databricks
Snowflake
Develop and optimize ETL/ELT pipelines for large-scale data processing and analytics workloads.
Build data transformation workflows using Databricks and Python-based processing frameworks.
Implement data ingestion, integration, transformation, and orchestration solutions across enterprise data platforms.
Configure and manage CI/CD pipelines and DevOps practices using GitHub Actions.
Collaborate with cross-functional teams including data architects, analysts, application teams, and business stakeholders.
Troubleshoot data pipeline failures, performance issues, and integration challenges.
Optimize data workflows for scalability, reliability, and performance.
Implement security controls, governance practices, and compliance requirements across cloud data platforms.
Support Agile delivery practices, including sprint planning, technical discussions, code reviews, and release activities.
Participate in architecture discussions and provide recommendations for cloud data modernization strategies.
Apply AI/ML capabilities and tools to enhance data processing workflows and ETL automation where applicable.

Required QualificationsEducation

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

Experience

Minimum 5+ years of experience as a Cloud Data Engineer.
Strong experience delivering enterprise-scale data engineering solutions.
Hands-on experience migrating data workloads from on-premises platforms to cloud environments.
Experience working with modern cloud data architectures and analytics platforms.

Required Technical SkillsCloud Data Engineering

Strong hands-on experience with:

Microsoft Azure Cloud
Azure Data Factory (ADF)
Self-hosted Integration Runtime (SHIR)
Azure Data Lake Storage Gen2 (ADLS Gen2)
Azure Blob Storage
Azure Logic Apps
Azure Databricks

Data Platforms

Snowflake
Databricks
SQL Server
Cloud data warehouse concepts
Data lake and lakehouse architectures

ETL/ELT Development

Strong experience with:

ETL pipeline design and development
SSIS migration and modernization
T-SQL development
Data transformation frameworks
Data ingestion processes
Data integration patterns

Programming & Scripting

Experience with:

Python
SQL
Scripting for data processing and automation

DevOps & CI/CD

Experience with:

GitHub Actions
CI/CD pipeline implementation
Source control practices
Automated deployment processes

Data Engineering Practices

Strong understanding of:

Data modeling
Database design principles
Data quality frameworks
Data validation
Performance optimization
Pipeline monitoring and troubleshooting

Preferred Qualifications

Experience developing data engineering solutions using Databricks for analytics and large-scale processing workloads.
Experience with data governance, metadata management, and data quality best practices.
Knowledge of additional cloud platforms such as:
AWS
Google Cloud Platform
Experience applying AI/ML tools and models to:
Data processing workflows
ETL automation
Data analytics solutions
Azure or Snowflake certifications preferred.
Experience working in Agile/Scrum environments.

Key Competencies

Cloud Data Engineering
Azure Data Platform
Snowflake Development
Databricks Engineering
ETL/ELT Modernization
Data Migration
Python & SQL Development
Data Pipeline Optimization
DevOps & CI/CD Practices
Data Governance
Problem Solving
Analytical Thinking
Technical Leadership
Collaboration & Communication

Role Outcomes

The successful candidate will:

Modernize legacy data platforms through successful cloud migration.
Build scalable and reliable Azure-based data solutions.
Enable advanced analytics through Snowflake and Databricks platforms.
Improve data processing efficiency through automation and optimization.
Establish robust engineering practices supporting enterprise data transformation initiatives.

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

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