Senior Data Engineer, 8+ Years Python, ETL, Snowflake, 2 Years ADF
Assurant
full-time
Posted on:
Location Type: Office
Location: Bangalore • India
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Job Level
About the role
- 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
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
ETLELTdata modelingdata transformationperformance tuningPythondata quality checksdata lineage trackingstored proceduresmaterialized views
Soft Skills
problem-solvingcollaborationability to work in a fast-paced environment
Certifications
Bachelor’s degreeMaster’s degree