Description

Top Must-Have Skillsets:

1. Expert-level PySpark and Databricks experience, including large-scale data processing workloads.

2. Advanced SQL expertise, especially with high-volume queries in AWS Redshift environments.

3. Experience refactoring legacy SQL/PySpark logic into optimized, modular pipelines.

4. Ability to architect reliable, scalable, production-grade analytics data products with strong governance standards.

Nice-to-Have Skillsets:

1. Experience in travel, e-commerce, logistics, or other fast-paced enterprise-scale environments.

2. Familiarity with behavioral analytics, conversion funnels, attribution logic, and performance monitoring metrics.

3. Experience standardizing data product outputs, including schema enforcement, metadata documentation, and lowercase/underscore naming conventions.

4. Ability to transition experimental sandbox work into production-ready assets for long-term support.

5. Experience working with transactional log sources and complex analytics data structures

Key Skills

Education

Any Gradute