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 setting 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

📌 Senior Data Engineer (8+ Years In Python Development + Etl Development + Snowflake Development + 2 Years In Adf) (Bengaluru)
🏢 Assurant
📍 Bengaluru