Azure Data Engineer-5-8Yrs-PAN INDIA

Crescendo Global Leadership Hiring India; Pune District, Bengaluru, Delhi; Hybrid; INR 1,200,000 - 2,200,000; Full time

Job summary

Crescendo Global Leadership Hiring India is seeking an Azure Data Engineer to design and build scalable ETL/ELT pipelines in a hybrid setup across Pune and other major Indian tech hubs. The role requires 4+ years of hands-on experience with Azure, Snowflake, and DBT, along with strong SQL skills and practical knowledge of cloud data services.

You will collaborate with stakeholders in the insurance domain to translate business requirements into robust data solutions, monitor pipelines for

Qualifications

• 4+ years in data engineering using Azure, Snowflake, and DBT.
• Strong knowledge of Azure cloud services and data pipelines.
• Expert in writing SQL for data analysis and transformation.

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 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.

Skills

Azure Cloud Platform

SQL proficiency

Data integration

Collaboration

Problem solving

Education

Bachelor’s or Master’s in CS/IS/Eng

Tools

Azure Data Factory

Snowflake

DBT

SnowSQL

CI/CD for data

Job description

Role: Azure Data Engineer Exp: 4+ Years Location: Pune/Gurugram/Noida/Bangalore/Hyderabad/Chennai (Hybrid)

About the Role

Azure Data Engineer with Insurance Domain knowledge.

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 requirementsespecially 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).

Qualifications

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