Azure Data Engineer

EXL Talent Acquisition Team; Gurugram District; Hybrid; INR 1,500,000 - 2,700,000; Full time

Job summary

EXL Talent Acquisition Team is seeking an Azure Data Engineer for a hybrid role in Gurugram. You will design and maintain ETL/ELT pipelines using Azure Data Factory, Snowflake, and DBT, build data integration workflows, and optimize SQL queries for large datasets.

You will collaborate with analysts, architects, and DevOps in a cloud-native environment, enforce data quality, governance, and documentation standards, and translate business needs into scalable technical solutions.

Qualifications

• Bachelor’s or Master’s degree in CS, Data Eng, IS, or related field.
• 4+ years of data engineering experience with Azure and Snowflake.
• Strong SQL skills for data analysis and transformation.
• Hands-on experience with ADF, DBT, SnowSQL, and Snowflake.
• Experience in cloud-based data environments handling large datasets.
• Familiarity with data governance and metadata concepts.

Responsibilities

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

Skills

Azure Cloud Platform

Azure Data Factory

SQL

Snowflake

SnowSQL

DBT

Cloud data environments

Education

Bachelor’s or Master’s degree in Computer Science, Data Engineering, Information Systems, or related field

Tools

Azure Data Lake

Azure Synapse

Azure Functions

Python

PySpark

CI/CD for data workflows

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