Description

You will design, build, and optimize data pipelines and systems to improve data reliability, quality, and efficiency.

This role is hybrid.

Responsibilities

• Lead the design and construction of data collection and transformation systems.
• Create and maintain data pipelines supporting data scientists and business analysts.
• Develop and maintain reporting infrastructure for dashboards and custom visualizations.
• Collaborate with subject matter experts to troubleshoot issues and translate datasets into actionable insights.
• Implement continuous improvements in data processing efficiency and integrity.

Required Skills

• 5+ years of experience developing in Python.
• Strong proficiency with Apache Spark and other data processing tools.
• Hands-on experience with AWS technologies, specifically Glue, S3, and Redshift.
• Proven ability to work with large datasets to solve business problems.
• Familiarity with modern software delivery practices, including source control, testing, and continuous delivery.
• Experience delivering products using Agile methodologies.

Key Skills

Education

Any Gradute