Description

You will validate the reliability, accuracy, performance, and scalability of data platforms and pipelines.

This role is hybrid.

Responsibilities

• Validate end-to-end data ingestion workflows.
• Ensure accuracy of data processing and streaming pipelines.
• Test analytics workflows for performance and scalability.
• Own quality assurance for data platforms built on AWS and Databricks.

Required Skills

• 5+ years of experience in data engineering or quality engineering.
• Strong proficiency in Python for scripting and testing.
• Hands-on experience with AWS data services.
• Expertise in Kafka for streaming data validation.
• Solid SQL skills for data verification and pipeline testing.
• Experience with Databricks environments.
• Bachelor's degree in a relevant field.

Preferred Skills

• Experience with data platform reliability engineering.

Key Skills

Education

Any Gradute