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. 

• 4+ years of experience in data engineering roles using Azure and Snowflake. 

Key Skills: Azure, Snowflake, SQL, Data Factory, DBT

Responsibilities

Qualifications