Role: Azure Data Engineer
Experience:
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 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).
Qualifications:
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Bachelor’s or Master’s degree in Computer Science, Data Engineering,
Information Systems, or a related field.