Senior Data Engineer, Assurant, GCC-India

Reports To: Director of Product Engineering & Integrations.
 

Position Summary

We are seeking a highly skilled Senior Data Engineer to design, develop, and optimize data pipelines and cloud-based data solutions. The ideal candidate will have strong expertise in Azure Data Factory, Snowflake, and modern ETL/ELT practices, enabling scalable, secure, and high-performance data workflows. This role will collaborate closely with analytics and BI teams to deliver reliable data infrastructure supporting enterprise reporting and advanced analytics.

This position will be in Bangalore/Chennai/Hyderabad at our India location.

Work Time: 3:30 PM IST ~ 12:30 AM IST

What will be my duties and responsibilities in this job?

Data Engineering & ETL Development

• Design, develop, and maintain ETL/ELT pipelines using Azure Data Factory, Snowflake Tasks, and Snowpipe for real-time and batch ingestion.
• Implement best practices for data modeling, transformation, and performance tuning within Snowflake.
• Build and manage pipelines connecting multiple structured and unstructured data sources across cloud and on-prem environments.
• Automate data quality checks, data lineage tracking, and error handling within ETL workflows.

Snowflake Development & Optimization

• Develop and maintain Snowflake schemas, views, stored procedures, and materialized views.
• Configure and optimize Snowpipe for continuous data loading.
• Utilize Snowsight for monitoring query performance, cost optimization, and workload analysis.
• Implement role-based access control and ensure data security in Snowflake.

Azure & Cloud Integration

• Integrate Azure Data Factory with other Azure services (Blob Storage, Synapse, Key Vault).
• Design scalable cloud architectures and orchestrate pipelines across hybrid environments.
• Implement CI/CD pipelines for data workflows using GitHub Actions.

Analytics & Reporting Enablement

• Collaborate with business analysts and BI teams to enable Power BI dashboards backed by optimized Snowflake data models.
• Create semantic models and data marts to support self-service analytics and reporting.

Scripting & Automation

• Develop Python scripts for automation, data processing, and custom integrations.
• Leverage Python-based frameworks (Pandas, PySpark, Airflow) to enhance pipeline capabilities.

What are the requirements needed for this position?

• Bachelor’s or Master’s degree in Computer Science, Data Engineering, or related field.
• 8+ years of experience in data engineering, ETL development, and cloud data platforms.
• Strong proficiency in Snowflake, Azure Data Factory, and Python.
• Experience with CI/CD, data security, and performance optimization.
• Familiarity with BI tools (Power BI, Looker, etc.) and data modeling best practices.
• Excellent problem-solving skills and ability to work in a fast-paced environment.

What are the Preferred requirements needed for this position?

• Knowledge of Airflow, PySpark, and data orchestration frameworks.
• Experience with real-time data ingestion and streaming architectures.
• Understanding of cost optimization in cloud environments.