Description

You will design, build, and maintain scalable data infrastructure for collection, storage, transformation, and analysis. You own the data pipelines, models, and applications that ensure efficient and reliable data workflows across structured and unstructured sources.

Responsibilities

• Design and implement data platforms including data warehouses, lakes, and lakehouses on GCP.
• Build and maintain data ingestion pipelines and 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