Azure Data Engineer

Role: Azure Data Engineer 
Location: Gurugram
Work Mode: Hybrid 
Key Responsibilities: 
• Design and develop ETL/ELT pipelines using Azure Data Factory, Snowflake, 
and DBT. 
• Build and maintain data integration workflows from various data sources to 
Snowflake. 
• Write efficient and optimized SQL queries for data extraction and transformation. 
• Work with stakeholders to understand business requirements and translate them 
into technical solutions. 
• Monitor, troubleshoot, and optimize data pipelines for performance and 
reliability. 
• Maintain and enforce data quality, governance, and documentation standards. 
• Collaborate with data analysts, architects, and DevOps teams in a cloud-native 
environment. 
Must-Have Skills: 
• Strong experience with Azure Cloud Platform services. 
• Proven expertise in Azure Data Factory (ADF) for orchestrating and automating 
data pipelines. 
• Proficiency in SQL for data analysis and transformation. 
• Hands-on experience with Snowflake and SnowSQL for data warehousing. 
• Practical knowledge of DBT (Data Build Tool) for transforming data in the 
warehouse. 
• Experience working in cloud-based data environments with large-scale datasets. 
Good-to-Have Skills: 
• Experience with Azure Data Lake, Azure Synapse, or Azure Functions. 
• Familiarity with Python or PySpark for custom data transformations. 
• Understanding of CI/CD pipelines and DevOps for data workflows. 
• Exposure to data governance, metadata management, or data catalog tools. 
• Knowledge of business intelligence tools (e.g., Power BI, Tableau) is a plus. 
Qualifications: 
• Bachelor’s or master’s degree in computer science, Data Engineering, 
Information Systems, or a related field. 
• 8+ years of experience in data engineering roles using Azure and Snowflake. 
Key Skills: Azure, Snowflake, SQL, Data Factory, DBT

Key Responsibilities: 
• Design and develop ETL/ELT pipelines using Azure Data Factory, Snowflake, 
and DBT. 
• Build and maintain data integration workflows from various data sources to 
Snowflake. 
• Write efficient and optimized SQL queries for data extraction and transformation. 
• Work with stakeholders to understand business requirements and translate them 
into technical solutions. 
• Monitor, troubleshoot, and optimize data pipelines for performance and 
reliability. 
• Maintain and enforce data quality, governance, and documentation standards. 
• Collaborate with data analysts, architects, and DevOps teams in a cloud-native 
environment. 

Bachelor’s or master’s degree in computer science, Data Engineering, 
Information Systems, or a related field.