Azure Data Engineer

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:

o Design and develop ETL/ELT pipelines using Azure Data Factory, Snowflake, and DBT.

o Build and maintain data integration workflows from various data sources to Snowflake.

o Write efficient and optimized SQL queries for data extraction and transformation.

o 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.

o Monitor, troubleshoot, and optimize data pipelines for performance and reliability.

o Maintain and enforce data quality, governance, and documentation standards.

o Collaborate with data analysts, architects, and DevOps teams in a cloud-native environment.

Must-Have Skills:

o 4+ years of experience in data engineering roles using Azure and Snowflake, DBT.

o Strong experience with Azure Cloud Platform services.

o Proven expertise in Azure Data Factory (ADF) for orchestrating and automating data pipelines.

o Proficiency in SQL for data analysis and transformation.

o Hands-on experience with Snowflake and SnowSQL for data warehousing.

o Practical knowledge of DBT (Data Build Tool) for transforming data in the warehouse.

o Experience working in cloud-based data environments with large-scale datasets.

o Strong problem-solving, communication, and collaboration skills.

Good-to-Have Skills:

o Experience with DataStage, Netezza, Azure Data Lake, Azure Synapse, or Azure Functions.

o Familiarity with Python or PySpark for custom data transformations.

o Understanding of CI/CD pipelines and DevOps for data workflows.

o Exposure to data governance, metadata management, or data catalog tools.

o Knowledge of business intelligence tools (e.g., Power BI, Tableau).