Azure Data Engineer Location: Gurgaon Exp: 5+ Years Key Responsibilities • Design, develop, and maintain data pipelines and ETL processes using Databricks, ADF, and Azure SQL. • Implement data orchestration, automation, and cost optimization strategies on Azure. • Develop and integrate REST APIs for data exchange and system interoperability. • Ensure data quality, security, and user access management across platforms. • Collaborate with cross-functional teams to deliver data solutions supporting analytics and business intelligence. • Apply version control and code modularization best practices using GitHub and CI/CD pipelines. • Monitor and optimize cloud infrastructure for performance and cost efficiency. • Prepare technical documentation and deliver presentations using Excel, PowerPoint, and Word. • Bachelor's degree with 5 to 6 years of experience. Required Skills : Languages: SQL (Advanced), Python (Advanced), REST API (Intermediate), Cloud Infrastructure: Azure (Intermediate), Tools: Databricks, ADLS, Azure SQL, ADF, GitHub, Visual Studio Code, SSMS, Concepts: CI/CD, Orchestration, Automation, Code Modularization, Versioning, Data Management, Data Engineering, Cost Management, ETL, User Access Management Good to Have: Data Analytics, AI/ML, Tableau, Power BI, PySpark • Design, develop, and maintain data pipelines and ETL processes using Databricks, ADF, and Azure SQL. • Implement data orchestration, automation, and cost optimization strategies on Azure. • Develop and integrate REST APIs for data exchange and system interoperability. • Ensure data quality, security, and user access management across platforms. • Collaborate with cross-functional teams to deliver data solutions supporting analytics and business intelligence. • Apply version control and code modularization best practices using GitHub and CI/CD pipelines. • Monitor and optimize cloud infrastructure for performance and cost efficiency. • Prepare technical documentation and deliver presentations using Excel, PowerPoint, and Word. • Bachelor's degree with 5 to 6 years of experience. Graduate in Computer Science, or related field. 5-6 years of experience in data engineering or related field.