Onsite Senior Data Engineer, 8+ Years Python, ETL, Snowflake, 2 Years ADF

Posted 6 hours ago

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About the role

  • 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

Job type

Experience level

Senior

Salary

Not specified

Degree requirement

Bachelor's Degree

Location requirements

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