Description

Build and maintain scalable data pipelines for logs and event streaming on cloud platforms to support analytics and machine learning.

This role is remote.

Responsibilities

• Develop reusable frameworks and capabilities to improve data processing efficiency.
• Design data models and architectures that support analytics and ML initiatives.
• Ensure data quality, security, and reliability across all data solutions.
• Optimize enterprise-scale data pipelines using modern cloud tools.
• Collaborate with data scientists to define data needs and deliver actionable insights.

Required Skills

• 4+ years of experience building and optimizing enterprise-scale data pipelines.
• Proficiency in Spark, Airflow, and Azure.
• Strong command of SQL and Python for data transformation and automation.
• Deep understanding of data architecture, data modeling, and data governance.
• Bachelor's in Computer Science or related field (Master’s with 3+ years experience accepted).

Preferred Skills

• Experience applying data governance principles to business-oriented problem solving.

Key Skills

Education

Any Graduate