Azure Data Engineer

EXL Talent Acquisition Team; Pune District; Hybrid; INR 2,500,000 - 4,000,000; Full time

Job summary

EXL Talent Acquisition Team in Gurugram is seeking an experienced Azure Data Engineer to join a hybrid team. The role focuses on designing and implementing ETL/ELT pipelines using Azure Data Factory, Snowflake, and DBT, and collaborating with stakeholders to deliver scalable data solutions.

You will optimize SQL queries, ensure data quality and governance, and work with cloud-native teams to enable robust data integration across datasets in a large-scale environment.

Qualifications

• Bachelor’s or Master’s degree in CS, Data Engineering, Information Systems, or related field.
• 8+ years in data engineering using Azure and Snowflake.
• Strong experience with Azure Data Factory and Snowflake.

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 optimized SQL queries for data extraction and transformation.
• Translate business requirements into technical data solutions.
• Monitor and optimize pipelines for performance and reliability.
• Enforce data quality, governance, and documentation standards.
• Collaborate with analysts, architects, and DevOps in a cloud-native environment.

Skills

Azure Cloud

SQL Proficiency

Data Warehousing

Data Governance

Stakeholder Mgmt

Education

Bachelor's/Master's in CS

Tools

Azure Data Factory

Snowflake

SnowSQL

DBT

Python

Azure Data Lake

Azure Synapse

Power BI

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

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