Azure Data Engineer

EXL; Gurugram District; Hybrid; INR 1,500,000 - 2,200,000; Full time

Job summary

EXL is seeking an Azure Data Engineer for a hybrid role in Gurugram. You will design and build ETL/ELT pipelines using Azure Data Factory, Snowflake, and DBT, while ensuring data quality and governance across cloud data environments.

You will work with stakeholders to translate business needs into scalable data solutions. The role requires 4+ years of data engineering experience with Azure and Snowflake, strong SQL skills, and hands-on DBT usage.

Qualifications

• Bachelor’s or Master’s degree in computer science, data engineering, information systems or related field.
• 4+ years of experience in data engineering using Azure and Snowflake.
• Strong SQL skills for data extraction and transformation.
• Hands-on experience with cloud data environments and large-scale datasets.
• Knowledge of DBT for data transformations is preferred.

Responsibilities

• Design and develop ETL/ELT pipelines using Azure Data Factory, Snowflake, and DBT.
• Build and maintain data integration workflows from diverse sources to Snowflake.
• Write efficient SQL queries for data extraction and transformation.
• Translate business requirements into robust data solutions with stakeholders.
• Monitor, troubleshoot, and optimize pipelines for performance and reliability.
• Ensure data quality, governance, and documentation standards are followed.
• Collaborate with analysts, architects, and DevOps in a cloud-native setup.

Skills

Azure

Azure Data Factory

SQL

Snowflake

SnowSQL

DBT

Cloud data env

Education

Bachelor's or Master's in CS/Data Eng/IS

Tools

SnowSQL

Azure Data Factory

DBT

Job description

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