Description

You will design, develop, and support GCP-based ETL and data warehousing solutions across various architectures.

Responsibilities

• Design and implement ETL logic from APIs, web services, and on-prem databases to meet business requirements.
• Develop data pipelines and data models that ensure accuracy, scalability, and security.
• Lead troubleshooting efforts for core data systems and supplemental data pipelines.
• Mentor junior personnel and delegate tasks to software engineering teams to ensure successful delivery.
• Collaborate with business owners and BI teams to identify requirements for new and existing data sources.

Required Skills

• 7+ years of experience in data engineering roles.
• Extensive experience with Google Cloud Platform (GCP), specifically BigQuery and Data Fusion (or comparable ETL/DW tools).
• Proficiency in SQL and relational database management.
• Strong programming skills in Java for data extraction and cleanup tasks.
• Working knowledge of Python for GCP product integration.
• Hands-on experience with XML and JSON data streaming artifacts.
• Ability to design ETL pipelines meeting functional and non-functional requirements.
• Bachelor's degree or equivalent graduate level education.

Key Skills

Education

Any Graduate