Description

Build and maintain scalable data pipelines and analytics solutions using Snowflake, DataStage, and Python.

This role is hybrid.

Responsibilities

• Design and implement data pipelines and solutions using Snowflake, DataStage, and Python.
• Support AI/ML and advanced analytics initiatives by delivering robust data architectures.
• Collaborate with business, product, and technology teams to define and deliver data solutions.
• Identify opportunities to improve data scalability, automation, and analytics capabilities.
• Evaluate, implement, and drive adoption of new data and analytics technologies.

Required Skills

• 5+ years of experience in Data Engineering.
• Strong proficiency in Python for data processing and pipeline development.
• Hands-on experience with Snowflake for data warehousing and analytics.
• Experience with IBM DataStage for ETL processes.
• Familiarity with Kafka for streaming data solutions.
• Bachelor's degree in Computer Science, Engineering, or related field.
• Strong communication and stakeholder collaboration skills.

Preferred Skills

• Experience supporting AI/ML or advanced analytics workloads.

Key Skills

Education

Bachelor's degree