Senior Data Engineer designing, developing, and optimizing data pipelines and workflows for Assurant. Collaborating with analytics and BI teams in a cloud-based data environment.
Responsibilities
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.
Develop and maintain Snowflake schemas, views, stored procedures, and materialized views.
Collaborate with business analysts and BI teams to enable Power BI dashboards backed by optimized Snowflake data models.
Develop Python scripts for automation, data processing, and custom integrations.
Requirements
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.
Benefits
Health insurance
Flexible work arrangements
Professional development opportunities
Job title
Senior Data Engineer, 8+ Years Python, ETL, Snowflake, 2 Years ADF
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