Description

You will design and maintain large-scale data engineering systems, focusing on ETL pipelines, data warehousing, and big data infrastructure.

This role is on-site.

Responsibilities

• Build and optimize ETL pipelines for efficient data ingestion and transformation.
• Architect and manage data warehousing solutions.
• Develop big data processing workflows using distributed computing frameworks.
• Collaborate with stakeholders to solve complex data problems.
• Ensure data integrity and system reliability across cloud environments.

Required Skills

• 10+ years of hands-on Data Engineering experience.
• Strong proficiency in SQL and Python.
• Expertise with Apache Spark for big data processing.
• Experience with cloud platforms: AWS, Azure, or GCP.
• Deep understanding of ETL best practices and data warehousing concepts.
• Excellent communication and problem-solving abilities.

Preferred Skills

• Experience working in New York on-site.
• Strong background in system architecture design.

Key Skills

Education

Any Graduate