Description

You will design, build, and maintain scalable data infrastructure for collection, storage, transformation, and analysis.

This role is on-site.

Responsibilities

• Design and implement data platforms including data warehouses, lakes, and lakehouses on GCP.
• Build and maintain data ingestion pipelines to wrangle data for landing in BigQuery.
• Develop analytical tools, algorithms, and scripts to automate data engineering tasks.
• Ensure optimum performance and identify opportunities for infrastructure improvement.
• Collaborate with stakeholders to define current and future data requirements.

Required Skills

• 4+ years of experience in Data Engineering.
• Strong proficiency with Google Cloud Platform, specifically BigQuery.
• Experience with Airflow, Astronomer, and Data Fusion for orchestration and integration.
• Proficiency in writing stored procedures, triggers, and data modeling.
• Experience with QlikView and cloud functions.
• Skilled in data analytics, warehousing, and data modeling concepts.
• Ability to design scalable data solutions for complex data workflows.

Preferred Skills

• Bachelor's or Master's degree in a relevant technical field.
• Experience with data lakehouse architectures.

Key Skills

Education

Bachelor's or Master's degrees