Azure Data Engineer

Xtagservices; Hyderabad; On-site; INR 1,200,000 - 2,400,000; Full time

Job summary

Xtagservices in Hyderabad, India, seeks a data engineer to design, develop, and deploy data solutions using Azure Data Services (ADLS, Synapse, Databricks, SQL).

You will implement secure access with Azure AD and Key Vault, build ETL/ELT pipelines, write Python and SQL, contribute to CI/CD with Azure DevOps, and collaborate with data architects to optimize performance and ensure compliance.

Qualifications

• Design, develop, and deploy data solutions using Azure Data Services (ADLS, Synapse, Databricks, SQL)
• Implement secure access and authentication using Azure AD, Key Vault, and Managed Identities
• Build, optimize, and automate ETL/ELT data pipelines for large-scale data processing
• Write Python scripts, SQL/T-SQL queries for data extraction, transformation, and analytics
• Contribute to CI/CD pipelines and automation using Azure DevOps
• Ensure data security, compliance, and performance optimization
• Collaborate with data architects, business analysts, and cloud engineers to deliver end-to-end data solutions
• Troubleshoot complex issues, optimize data processing, and recommend innovative solutions
• Stay current with Azure cloud updates and data engineering best practices

Job description

Design, develop, and deploy data solutions using Azure Data Services (ADLS, Synapse, Databricks, SQL)

Implement secure access and authentication using Azure AD, Key Vault, and Managed Identities

Build, optimize, and automate ETL/ELT data pipelines for large-scale data processing

Write Python scripts, SQL/T-SQL queries for data extraction, transformation, and analytics

Contribute to CI/CD pipelines and automation using Azure DevOps

Ensure data security, compliance, and performance optimization

Collaborate with data architects, business analysts, and cloud engineers to deliver end-to-end data solutions

Troubleshoot complex issues, optimize data processing, and recommend innovative solutions

Stay current with Azure cloud updates and data engineering best practices