Sr Cloud Data Engineer
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Key skills for this role
Role Overview
Support a large-scale cloud data modernization initiative.
Migrate enterprise data platforms from on-premises environments to Azure Cloud and Snowflake.
Design, develop, and optimize secure, scalable, and high-performing cloud data solutions.
Key Skills for This Role
Full Job Posting
Role Summary
Support a large-scale cloud data modernization initiative.
Migrate enterprise data platforms from on-premises environments to Azure Cloud and Snowflake.
Design, develop, and optimize secure, scalable, and high-performing cloud data solutions.
Work Location
- The role is hybrid remote in Noida, Uttar Pradesh.
Employment
- The position is full-time.
Key Responsibilities
- Migrate enterprise ETL workloads from on-premises SQL Server data warehouses to Azure Cloud and Snowflake.
- Modernize SSIS, T-SQL, and SQL Server-based ETL processes.
- Design solutions using Azure Data Factory, SHIR, ADLS Gen2, Azure Blob Storage, Logic Apps, Databricks, and Snowflake.
- Develop and optimize ETL/ELT pipelines and Python-based data transformation workflows.
- Implement data ingestion, integration, transformation, and orchestration solutions.
- Manage CI/CD pipelines and DevOps practices using GitHub Actions.
- Troubleshoot pipeline failures and optimize workflows for scalability, reliability, and performance.
- Implement security, governance, and compliance controls across cloud data platforms.
- Collaborate with technical and business stakeholders on architecture, delivery, and modernization strategy.
Required Qualifications
- Bachelor's degree in Computer Science, Information Technology, Engineering, Data Science, or a related field.
- At least 5 years of experience as a Cloud Data Engineer.
- Experience delivering enterprise-scale data engineering solutions.
- Experience migrating data workloads from on-premises platforms to cloud environments.
- Experience with modern cloud data architectures and analytics platforms.
- Strong hands-on experience with Azure data services, Databricks, Snowflake, ETL/ELT, Python, SQL, and DevOps.
- Strong understanding of data modeling, database design, data quality, validation, optimization, and troubleshooting.
Technical Skills
- Azure Data Factory, Self-hosted Integration Runtime, ADLS Gen2, Azure Blob Storage, and Azure Logic Apps.
- Azure Databricks, Snowflake, SQL Server, SSIS, and T-SQL.
- Python, SQL, ETL/ELT pipeline development, and data integration patterns.
- GitHub Actions, CI/CD pipelines, source control, and automated deployment.
- Data modeling, data quality, data validation, performance optimization, and pipeline monitoring.
Preferred Qualifications
- Experience with data governance, metadata management, and data quality best practices.
- Knowledge of AWS or Google Cloud Platform.
- Experience applying AI/ML tools to data processing, ETL automation, or analytics solutions.
- Azure or Snowflake certifications.
- Experience working in Agile or Scrum environments.
Expected Outcomes
Modernize legacy data platforms through successful cloud migration.
Build scalable and reliable Azure-based data solutions.
Enable advanced analytics through Snowflake and Databricks.
Improve data processing efficiency through automation and optimization.
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