Senior Software Engineer - Data Engineering
Skills
- Proficiency in Python and PySpark for backend development.
- Experience working with NoSQL databases, specifically DynamoDB.
- Strong background in large data environments with Snowflake or Databricks.
- Understanding of distributed system principles and high availability.
- Hands-on experience with serverless architectures and AWS Lambda.
- Familiarity with data engineering best practices and data-driven platforms.
Responsibilities
- Develop and maintain backend services supporting credit decision platforms.
- Plan, build, deploy, and support production-level software with high uptime requirements.
- Work collaboratively on customer acquisition experiences and backend credit product lines.
- Maintain high availability and stability for always-on systems.
- Leverage various AWS services including EMR, Glue, S3, Lambda, and Cloudwatch.
Education
- Bachelor’s degree or higher in Computer Science, Engineering, or a related field preferred.
Benefits
- Competitive compensation packages.
- Professional development and continuous learning opportunities.
- Flexible work arrangements supporting remote employment.
- Collaborative and innovative work culture.
- Opportunities for both personal and professional growth.
Average salary estimate
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