Description

You will build and maintain scalable, automated data pipelines for logs and event streaming on cloud platforms. You will design data models and abstractions to support analytics and machine learning initiatives.

Responsibilities

• Develop enterprise-grade APIs and data products to facilitate data access across teams.
• 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.
• Optimize enterprise-scale data pipelines for performance and reliability.
• Ensure secure and high-performance API development on cloud platforms.

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