Azure Data Engineer

EXL; Uttar Pradesh; On-site; INR 1,400,000 - 2,000,000; Full time

Job summary

EXL is seeking an Azure Data Engineer in India to design and build scalable data pipelines. You will work with Azure Data Factory, Snowflake, and DBT to orchestrate ETL/ELT processes and optimize data flows for insurance-related data domains.

The role requires 4+ years in data engineering with Azure, Snowflake, and SQL, and a collaborative, cloud-native mindset. Location options include Noida, Gurgaon, Bangalore, and others across India.

Qualifications

• 4+ years of data engineering experience with Azure and Snowflake.
• Proficient in SQL for data extraction and transformation.
• Experience building data pipelines with ADF and DBT.
• Experience in cloud data environments handling large datasets.

Responsibilities

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

Skills

Azure Data Factory

Snowflake

DBT (Data Build Tool)

SQL

Azure Cloud Platform

Data Engineering

Tools

SnowSQL

Git / CI/CD

Job description

Role - Azure Data Engineer

Mandatory Skill - Azure Data Factory, DBT, Snowflake

Experience range - 5-8 yrs

Location- Noida, Gurgaon, Pune, Bangalore, Hyderabad, Chennai

Job Description:

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—especially within insurance processes such as policy, claims, underwriting, billing, and customer data—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

• 4+ years of experience in data engineering roles using Azure and Snowflake, DBT.
• 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.
• Strong problem-solving, communication, and collaboration skills.

Good-to-Have Skills:

• Experience with DataStage, Netezza, 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).