Description

Design and implement data architectures within a Google Cloud Platform environment.

Responsibilities

• Develop and implement ETL/ELT processes to ingest data from various sources into BigQuery while maintaining data quality.
• Shape project strategy by defining scope, objectives, and deliverables in collaboration with stakeholders.
• Oversee quality assurance processes, coding standards, and technical design reviews.
• Collaborate with development teams and on-site engineers to resolve technical issues and address requirements.
• Identify project risks and develop mitigation strategies to ensure on-time delivery.

Required Skills

• 8+ years of experience in data engineering or data architecture.
• 2+ years of hands-on experience in a GCP environment.
• 2+ years of experience solutioning IRIIS integrations.
• Proficiency in SQL with experience optimizing complex queries in BigQuery.
• Strong knowledge of BigQuery, Dataflow, Cloud Storage, and PubSub.
• Experience with data modeling techniques and data warehousing best practices.
• Proficiency in Python, Java, or Scala for data manipulation and automation.
• Any Graduate degree.

Key Skills

Education

Any Graduate