Description

Design and build scalable data engineering solutions and infrastructure for analytics and machine learning.

This role is on-site.

Responsibilities

• Design and build scalable, efficient data engineering solutions.
• Develop new data infrastructure and maintain existing systems.
• Identify data sources and manage data pipelines for analytics and machine learning.
• Collaborate with BI and Data Science teams to enable data-driven decision-making.
• Engage with technical and business leaders to define project requirements and deliverables.

Required Skills

• 5+ years of experience as a Data Engineer working with large, complex data sources.
• Advanced SQL and hands-on data modeling experience.
• Proven experience building ETL pipelines.
• Hands-on experience with AWS big data technologies including EMR, Redshift, S3, Glue, Kinesis, and Lambda.
• Proficiency in Python.
• Experience developing scalable data infrastructure.

Key Skills

Education

Any Graduate