Azure Data Engineer

ExlService Holdings, Inc.; Hyderabad; On-site; INR 1,800,000 - 3,200,000; Full time

Job summary

ExlService Holdings, Inc. in Gurugram is seeking an experienced Azure Data Engineer to design and implement scalable ETL/ELT pipelines in a hybrid work environment.

You will leverage Azure Data Factory, Snowflake, and DBT to move data from diverse sources into a centralized warehouse, writing efficient SQL and collaborating with stakeholders. The role emphasizes data quality, governance, and performance optimization in a cloud-native setup, with opportunities to work alongside data analysts,

Qualifications

• 8+ years of data engineering experience with Azure and Snowflake.
• Bachelor's or master's in CS, Data Engineering, or related field.
• Proven expertise in building ETL/ELT pipelines with ADF.
• Strong SQL skills for data analysis and transformation.
• Hands-on Snowflake and SnowSQL experience.
• DBT knowledge for data transformations.
• Experience in cloud-native data environments with large datasets.
• Python or PySpark experience is a plus.

Responsibilities

• Design and develop ETL/ELT pipelines using ADF, Snowflake, and DBT.
• Build data integration workflows from diverse sources to Snowflake.
• Write optimized 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 and enforce data quality, governance, and documentation standards.
• Collaborate with data analysts, architects, and DevOps teams in a cloud-native environment.

Skills

Azure Cloud Platform

Azure Data Factory

SQL

Snowflake

SnowSQL

DBT

Python / PySpark

Azure Data Lake

Azure Synapse

Azure Functions

CI/CD for data

Data governance

Education

Bachelor's or Master's in CS / Data Engineering / related field

Tools

Snowflake

SnowSQL

DBT

Azure Data Factory

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