Azure Data Engineer

EXL; Gurugram District; Hybrid; INR 1,800,000 - 3,200,000; Full time

Job summary

EXL in Gurugram invites an Azure Data Engineer to design and optimize cloud-based data pipelines. The role focuses on building ETL/ELT processes with Azure Data Factory, Snowflake, and DBT, ensuring scalable data integration from diverse sources.

You will write optimized SQL, maintain data quality, and collaborate with analytics, architecture, and DevOps teams in a hybrid setup. 4+ years of experience preferred.

Qualifications

• 4+ years of experience in data engineering using Azure and Snowflake.
• Experience designing and implementing ETL/ELT pipelines.
• Proficient in SQL for data analysis and transformation.
• Hands-on with Snowflake and SnowSQL for data warehousing.

Responsibilities

• Design and develop ETL/ELT pipelines using Azure Data Factory, Snowflake, and DBT.
• Build and maintain data integration workflows to Snowflake from multiple sources.
• Write efficient SQL for data extraction and transformation.
• Collaborate with stakeholders to translate business requirements 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

DBT

Cloud data environments

Education

Bachelor’s or Master’s degree in Computer Science/Data Engineering/Information Systems

Tools

SnowSQL

Azure Data Lake

Azure Synapse

Python

PySpark

CI/CD pipelines

Data governance tools

Power BI

Tableau

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