Description

You will design, develop, and optimize data pipelines and infrastructure to support large-scale data products.

This role is remote.

Responsibilities

• Design and maintain data capabilities and infrastructure for third-party and partner data.
• Build new data pipelines, transfers, and compliance-oriented infrastructure within cloud environments.
• Optimize data pipelines for speed, reliability, and efficiency.
• Implement data transformation, integration, and validation processes to support analytics and reporting.
• Collaborate with DevOps teams to automate the deployment and monitoring of data pipelines.

Required Skills

• 5+ years of experience in data engineering with a track record of implementing data solutions.
• Proficiency in Python, Java, or Scala.
• Experience with Spark and Hadoop.
• Hands-on experience with cloud platforms including AWS, Azure, or GCP.
• Strong knowledge of SQL and NoSQL databases.
• Deep understanding of data warehousing concepts and data modeling techniques.
• Bachelor's degree in Computer Science, Engineering, or a related field.

Preferred Skills

• Experience in data product development, analytical models, and model governance.
• Knowledge of data hygiene procedures, identity resolution, or data management.

Key Skills

Education

Bachelor's degree