Description

You will build and maintain scalable, automated data pipelines for logs and event streaming on cloud platforms, supporting analytics and machine learning initiatives.

This role is remote.

Responsibilities

• Develop enterprise-grade APIs and data products to facilitate data access across teams.
• Optimize enterprise-scale data pipelines for performance and reliability.
• Design data models and abstractions to support analytics and ML initiatives.
• Advance infrastructure by creating reusable frameworks and leveraging modern data engineering practices.
• Collaborate with data scientists and engineering teams to understand data needs and deliver actionable insights.

Required Skills

• 5+ years of experience building and optimizing enterprise-scale data pipelines.
• Proficiency in Spark and Airflow for data orchestration and processing.
• Strong skills in SQL and Python for data transformation, automation, and analysis.
• Experience developing secure APIs, preferably on Azure.
• Bachelor’s Degree in Computer Science, Software Engineering, or related field.
• Strong problem-solving skills with a creative approach to data challenges.

Key Skills

Education

Any Graduate