Description

Design, build, and maintain scalable data pipelines and ETL/ELT processes for large datasets.

This role is on-site.

Responsibilities

• Develop and optimize data workflows for performance, scalability, and reliability.
• Ensure data quality, integrity, and security across integrated systems.
• Collaborate with data analysts, scientists, and business stakeholders to support data needs.
• Integrate data from multiple sources and platforms.
• Apply data warehousing and data modeling concepts to support efficient processing.

Required Skills

• 3+ years of experience in Data Engineering or related field.
• Strong proficiency in SQL.
• Strong proficiency in Python.
• Experience with data processing and pipeline development.
• Familiarity with cloud platforms, specifically GCP.
• Bachelor's degree in a relevant field.
• Strong problem-solving and analytical skills.

Preferred Skills

• Hands-on experience with Google Cloud Platform services such as BigQuery and Dataflow.
• Exposure to modern data tools and frameworks.

Key Skills

Education

Bachelor's degree